Self-supervised Graph Disentangled Networks for Review-based Recommendation

Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction

Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach

Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu
Multi-level Graph Contrastive Prototypical Clustering

Yuchao Zhang, Yuan Yuan, Qi Wang
Graph Propagation Transformer for Graph Representation Learning

Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi
Graph Sampling-based Meta-Learning for Molecular Property Prediction

Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks

Mehrdad khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K Reddy
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification

Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
Hierarchical Transformer for Scalable Graph Learning

Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation

Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang
Totally Dynamic Hypergraph Neural Networks

Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
Gapformer: Graph Transformer with Graph Pooling for Node Classification

Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe
Continuous-Time Graph Learning for Cascade Popularity Prediction

Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning

Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
Enabling Abductive Learning to Exploit Knowledge Graph

Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces

Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
LGI-GT: Graph Transformers with Local and Global Operators Interleaving

Shuo Yin, Guoqiang Zhong
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations

Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation

Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity

Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs

Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction

Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Wai Leong Tam, Xiaoli Li
Minimizing Reachability Times on Temporal Graphs via Shifting Labels

Argyrios Deligkas, Eduard Eiben, George Skretas
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification

Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

Sheng Tian, Jihai Dong, Jintang Li, WENLONG ZHAO, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
Graph Neural Convection-Diffusion with Heterophily

KAI ZHAO, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Semi-supervised Domain Adaptation in Graph Transfer Learning

Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
Multi-Scale Subgraph Contrastive Learning

Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction

Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang
Multi-View Robust Graph Representation Learning for Graph Classification

Guanghui Ma, Chunming Hu, Ling Ge, Hong Zhang
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes

Zhaiming Shen, Ming-Jun Lai, Sheng Li
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

Xinyu Fu, Irwin King
Intent-aware Recommendation via Disentangled Graph Contrastive Learning

Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction

Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention

Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song

ICML-2023

A Generalization of ViT/MLP-Mixer to Graphs

Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening

Yifan Chen, Rentian Yao, Yun Yang, Jie Chen
Additive Causal Bandits with Unknown Graph

Alan Malek, Virginia Aglietti, Silvia Chiappa
Alternately Optimized Graph Neural Networks

Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
Boosting Graph Contrastive Learning via Graph Contrastive Saliency

Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David J. Brady, LU FANG
ClusterFuG: Clustering Fully connected Graphs by Multicut

Ahmed Abbas, Paul Swoboda
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification

Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
Conditional Graph Information Bottleneck for Molecular Relational Learning

Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching

Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang
DRew: Dynamically Rewired Message Passing with Delay

Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni
Dink-Net: Neural Clustering on Large Graphs

Yue Liu, KE LIANG, Jun Xia, sihang zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Disentangled Multiplex Graph Representation Learning

Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Distribution Free Prediction Sets for Node Classification

Jase Clarkson
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks

Peng XU, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines

Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation

Joonhyuk Yang, Dongpil Shin, Hye Won Chung
Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network

Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian

Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Ewald-based Long-Range Message Passing for Molecular Graphs

Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann
Exphormer: Sparse Transformers for Graphs

Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop
Fast Online Node Labeling for Very Large Graphs

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh
Featured Graph Coarsening with Similarity Guarantees

Manoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

YIZHEN ZHENG, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan
Fisher Information Embedding for Node and Graph Learning

Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt
From Hypergraph Energy Functions to Hypergraph Neural Networks

Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks

Cai Zhou, Xiyuan Wang, Muhan Zhang
GC-Flow: A Graph-Based Flow Network for Effective Clustering

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming

Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang
GREAD: Graph Neural Reaction-Diffusion Networks

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Generated Graph Detection

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
Graph Contrastive Backdoor Attacks

Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
Graph Generative Model for Benchmarking Graph Neural Networks

Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov
Graph Inductive Biases in Transformers without Message Passing

Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

AJAY KUMAR JAISWAL, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Graph Mixup with Soft Alignments

Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure

Ryoma Sato
Graph Neural Networks with Learnable and Optimal Polynomial Bases

Yuhe Guo, Zhewei Wei
Graph Neural Tangent Kernel: Convergence on Large Graphs

Sanjukta Krishnagopal, Luana Ruiz
Graph Positional Encoding via Random Feature Propagation

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks

Yuwen Li, Miao Xiong, Bryan Hooi
HOPE: High-order Graph ODE For Modeling Interacting Dynamics

Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
Half-Hop: A graph upsampling approach for slowing down message passing

Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L Dyer
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction

Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik
Implicit Graph Neural Networks: A Monotone Operator Viewpoint

Justin Baker, Qingsong Wang, Cory D Hauck, Bao Wang
Improving Graph Generation by Restricting Graph Bandwidth

Nathaniel Lee Diamant, Alex Tseng, Kangway V Chuang, Tommaso Biancalani, Gabriele Scalia
Improving Graph Neural Networks with Learnable Propagation Operators

Moshe Eliasof, Lars Ruthotto, Eran Treister
InGram: Inductive Knowledge Graph Embedding via Relation Graphs

Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation

Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs

Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks

Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay
Linkless Link Prediction via Relational Distillation

Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh Chawla, Neil Shah, Tong Zhao
Local Vertex Colouring Graph Neural Networks

Shouheng Li, Dongwoo Kim, Qing Wang
Modeling Dynamic Environments with Scene Graph Memory

Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
Multi-class Graph Clustering via Approximated Effective $p$-Resistance

Shota Saito, Mark Herbster
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs

Richard A Watson, Hengrui Cai, Xinming An, Samuel McLean, Rui Song
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein
On the Connection Between MPNN and Graph Transformer

Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang
On the Expressive Power of Geometric Graph Neural Networks

Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis, Taco Cohen, Pietro Lio
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding

Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani
Online Learning with Feedback Graphs: The True Shape of Regret

Tomáš Kocák, Alexandra Carpentier
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion

Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li
Path Neural Networks: Expressive and Accurate Graph Neural Networks

Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
Personalized Subgraph Federated Learning

Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
Randomized Schur Complement Views for Graph Contrastive Learning

Vignesh Kothapalli
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs

Saro Passaro, C. Lawrence Zitnick
Relevant Walk Search for Explaining Graph Neural Networks

Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Muller, Shinichi Nakajima
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching

Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature

Khang Nguyen, Nong Minh Hieu, Vinh Duc NGUYEN, Nhat Ho, Stanley Osher, Tan Minh Nguyen
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations

Sehyun Kwon, Joo Young Choi, Ernest K. Ryu
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning

Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning

Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming

Yufan Huang, C. Seshadhri, David F. Gleich
Tight and fast generalization error bound of graph embedding in metric space

Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, jing wang, Feng Tian, Kenji Yamanishi
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering

Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
Towards Deep Attention in Graph Neural Networks: Problems and Remedies

Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
Towards Robust Graph Incremental Learning on Evolving Graphs

Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu
Towards Understanding and Reducing Graph Structural Noise for GNNs

Mingze Dong, Yuval Kluger
Transformers Meet Directed Graphs

Simon Geisler, Yujia Li, Daniel J Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru
Understanding Oversquashing in GNNs through the Lens of Effective Resistance

Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang
Vertical Federated Graph Neural Network for Recommender System

Peihua Mai, Yan Pang
WL meet VC

Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks

Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei
Which Invariance Should We Transfer? A Causal Minimax Learning Approach

Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang

KDD-2023

Kernel Ridge Regression-Based Graph Dataset Distillation

Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Reducing Exposure to Harmful Content via Graph Rewiring

Corinna Coupette, Stefan Neumann, Aristides Gionis
Community-based Dynamic Graph Learning for Popularity Prediction

Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network

Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective

Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation

Jiaxing Zhang, Dongsheng Luo, Hua Wei
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-Scale Disentangled Representations

Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan
What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
Efficient and Effective Edge-Wise Graph Representation Learning

Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao
Towards Graph-Level Anomaly Detection via Deep Evolutionary Mapping

Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng
VQNE: Variational Quantum Network Embedding with Application to Network Alignment

Xinyu Ye, Ge Yan, Junchi Yan
CARL-G: Clustering-Accelerated Representation Learning on Graphs

William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms

Fanchen Bu, Kijung Shin
Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
Localised Adaptive Spatial-Temporal Graph Neural Network

Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao
PERT-GNN: Latency Prediction for Microservice-Based Cloud-Native Applications via Graph Neural Networks

Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau
Causal Effect Estimation on Hierarchical Spatial Graph Data

Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information

Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
On Structural Expressive Power of Graph Transformers

Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem

Guanyu Cui, Zhewei Wei
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song
Learning Strong Graph Neural Networks with Weak Information

Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
Clenshaw Graph Neural Networks

Yuhe Guo, Zhewei Wei
All in One: Multi-Task Prompting for Graph Neural Networks

Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
Certified Edge Unlearning for Graph Neural Networks

Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang
Augmenting Recurrent Graph Neural Networks with a Cache

Guixiang Ma, Vy A Vo, Theodore L. Willke, Nesreen K. Ahmed
Narrow the Input Mismatch in Deep Graph Neural Network Distillation

Qiqi Zhou, Yanyan Shen, Lei Chen
Sketch-Based Anomaly Detection in Streaming Graphs

Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip Yu, Bryan Hooi
Knowledge Graph Reasoning over Entities and Numerical Values

Jiaxin Bai, Chen Luo, zheng li, Qingyu Yin, Bing Yin, Yangqiu Song
Exploiting Relation-Aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning

Gayeong Kim, Sookyung Kim, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning

Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
Context-Aware Event Forecasting via Graph Disentanglement

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-seng Chua
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers

Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
Grace: Graph Self-Distillation and Completion to Mitigate Degree-Relatednesses

Hui Xu, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification

Wen-Zhi Li, Chang-Dong Wang, Hui Xiong; The Hong Kong University of Science and Technology), Jian-Huang Lai
Classification of Edge-Dependent Labels of Nodes in Hypergraphs

Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
Enhancing Graph Representations Learning with Decorrelated Propagation

Hua Liu, Wei Jin, Xiaorui Liu, Hui Liu
Meta Graph Learning for Long-Tail Recommendation

Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang
Graph Neural Bandits

Yunzhe Qi, Yikun Ban, Jingrui He
E-commerce Search via Content Collaborative Graph Neural Network

Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation

Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
Knowledge Graph Self-Supervised Rationalization for Recommendation

Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering

Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
Incremental Causal Graph Learning for Online Root Cause Analysis

Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
Transferable Graph Structure Learning for Graph-Based Traffic Forecasting Across Cities

Yilun Jin, Kai Chen, Qiang Yang
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework

Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-Source Knowledge Graphs

Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation

Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
Few-Shot Low-Resource Knowledge Graph Completion with Multi-view Task Representation Generation

Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree

Delvin Ce Zhang, Rex Ying, Hady W. Lauw
PROSE: Graph Structure Learning via Progressive Strategy

Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining

Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos
Task-Equivariant Graph Few-Shot Learning

Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders

Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection

Jiaying Wu, Bryan Hooi
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs

Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-seng Chua, Qing He
A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability

Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du
Financial Default Prediction via Motif-Preserving Graph Neural Network with Curriculum Learning

Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration

Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
QTIAH-GNN: Quantity and Topology Imbalance-Aware Heterogeneous Graph Neural Network for Bankruptcy Prediction

Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang, Hui Xiong; The Hong Kong University of Science and Technology
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling

Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong
Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems

Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang
Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest

Sang-Hong Kim, Ha-Myung Park
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang
DyTed: Disentangled Representation Learning for Discrete-Time Dynamic Graph

Kaike Zhang, Qi Cao, Gaolin Fang, Xu Bingbing, Hongjian Zou, Huawei Shen, Xueqi Cheng
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation

Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window

Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang
EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation

Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang
Using Motif Transitions for Temporal Graph Generation

Penghang Liu, Ahmet Erdem Sariyuce
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks

Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models

Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy

Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Cheng, Bing Yin, Suhang Wang
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction

Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, LEI BAI, Yang Wang
Spatial Heterophily Aware Graph Neural Networks

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong; The Hong Kong University of Science and Technology
Leveraging Relational Graph Neural Network for Transductive Model Ensemble

Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei CHEN, Yang Yang
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities

Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
Graph Neural Processes for Spatio-Temporal Extrapolation

Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
Reconstructing Graph Diffusion History from a Single Snapshot

Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
Generalizing Graph ODE for Learning Complex System Dynamics across Environments

Zijie Huang, Yizhou Sun, Wei Wang
B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning

Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong
Similarity Preserving Adversarial Graph Contrastive Learning

Yeonjun In, Kanghoon Yoon, Chanyoung Park
HomoGCL: Rethinking Homophily in Graph Contrastive Learning

Wen-Zhi Li, Chang-Dong Wang, Hui Xiong; The Hong Kong University of Science and Technology), Jian-Huang Lai
Contrastive Cross-scale Graph Knowledge Synergy

Yifei Zhang, Yankai Chen, Zixing Song, Irwin King
Graph Contrastive Learning with Generative Adversarial Network

Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
Semi-Supervised Graph Imbalanced Regression

Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
Learning Joint Relational Co-Evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction

Youru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection

Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
Commonsense Knowledge Graph towards Supper APP and Its Applications in Alipay

Xiaoling Zang, Binbin Hu, Chu Jun, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering

Xujia Li, Yuan Li, Xueying Mo, Hebing Xiao, Yanyan Shen, Lei Chen; Hong Kong University of Science and Technology
DGI: An Easy and Efficient Framework for GNN Model Evaluation

Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
Learning Multivariate Hawkes Process via Graph Recurrent Neural Network

Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park
HUGE: Huge Unsupervised Graph Embeddings with TPUs

Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs

Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research

Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-mei Hwu
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification

Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen
Graph Learning in Physical-Informed Mesh-Reduced Space for Real-World Dynamic Systems

Yeping Hu, Bo Lei, Victor M. Castillo
Knowledge Based Prohibited Item Detection on Heterogeneous Risk Graphs

Tingyan Xiang, Ao Li, Yugang Ji, Dong Li
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation

Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

Xinyue Hu, Lin Gu, Qiyuan An, Zhang Mengliang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems

Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications

Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation

Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu
Adaptive Graph Contrastive Learning for Recommendation

Yangqin Jiang, Chao Huang, Lianghao Xia
Real Time Index and Search Across Large Quantities of GNN Experts For Low Latency Online Learning

Johan Zhi Kang Kok, Sien Yi Tan, Bingsheng He, Zhen Zhang
ILRoute: A Graph-based Imitation Learning Method to Unveil Riders’ Routing Strategies in Food Delivery Service

Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li
Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph

Zhang Shiyuan, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li

SIGIR-2023

Adaptive Graph Representation Learning for Next POI Recommendation

Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering

Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
Candidate–aware Graph Contrastive Learning for Recommendation

Wei He, Guohao Sun, Jinhu Lu, Xiu Susie Fang
Continual Learning on Dynamic Graphs via Parameter Isolation

Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Contrastive Learning for Signed Bipartite Graphs

Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang
Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition

Jingyun Xu, Yi Cai
Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation

Yuyang Ren, Zhang Haonan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning

Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
Dynamic Graph Evolution Learning for Recommendation

Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li
Generative-Contrastive Graph Learning for Recommendation

Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
Graph Masked Autoencoder for Sequential Recommendation

Yaowen Ye, Lianghao Xia, Chao Huang
Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation

Qian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
LightGT: A Light Graph Transformer for Multimedia Recommendation

Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation

Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu
Graph Transformer for Recommendation

Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation

Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong
Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space

Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation

Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu
Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network

Ran Li, Liang Zhang, Guannan Liu, Junjie Wu
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

Linhao Luo, Reza Haffari, Yuan Fang Li, Shirui Pan
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling

Bin Shang, Yinliang Zhao, Di Wang, Jun Liu
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Session Search with Pre-trained Graph Classification Model

Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang
Spatio-Temporal Hypergraph Learning for Next POI Recommendation

Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios

Jiasheng Zhang, Jie Shao, Bin Cui
Subgraph Search over Neural-Symbolic Graphs

Ye Yuan, Delong Ma, Anbiao Wu, Jianbin Qin
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis

Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs

Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation

Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang
Weighted Knowledge Graph Embedding

Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things

Yimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun
DocGraphLM: Documental graph language model for information extraction

Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning

Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu
Graph Collaborative Signals Denoising and Augmentation for Recommendation

Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding

Zhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraphs

Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim
Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion

Donghan Yu, Yiming Yang
Sharpness-Aware Graph Collaborative Filtering

Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks

Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework

Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King

NeurIPS-2023

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

Jan Schuchardt, Yan Scholten, Stephan Günnemann
4D Panoptic Scene Graph Generation

Jingkang Yang, Jun CEN, WENXUAN PENG, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
A Comparative Study of Graph Structure Learning: Benchmark and Analysis

Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking

Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
A Fractional Graph Laplacian Approach to Oversmoothing

Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
A Meta Learning Model for Scalable Hyperbolic Graph Neural Networks

Nurendra Choudhary, Nikhil Rao, Chandan Reddy
A Metadata-Driven Approach to Understand Graph Neural Networks

Ting Wei Li, Qiaozhu Mei, Jiaqi Ma
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

Vignesh Kothapalli, Tom Tirer, Joan Bruna
A graphon-signal analysis of graph neural networks

Ron Levie
A new perspective on building efficient and expressive 3D equivariant graph neural networks

weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity

Jingyuan Li, Leo Scholl, Trung Le, Amy Orsborn, Eli Shlizerman
Accelerating Molecular Graph Neural Networks via Knowledge Distillation

Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger
Act As You Wish: Fine-grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Energy Conservation Approach

Kai Zhao, Yang Song, Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay
Adversarial Training for Graph Neural Networks

Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Affinity-Aware Graph Networks

Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
Approximately Equivariant Graph Networks

Ningyuan Huang, Ron Levie, Soledad Villar
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning

Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution

Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, CHUNHUA ZHOU, Fengyu Sun, Di Niu
Bayesian Optimisation of Functions on Graphs

Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A Osborne, Xiaowen Dong
Better with Less: A Data-Centric Prespective on Pre-Training Graph Neural Networks

*Jiarong Xu, Renhong Huang, XIN JIANG, Yuxuan Cao, Carl Yang, Chunping Wang, YANG YANG*
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence

Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
CAT-Walk: Inductive Hypergraph Learning via Set Walks

Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs

Yeyuan Chen, Dingmin Wang
Can Language Models Solve Graph Problems in Natural Language?

Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Certifiably Robust Graph Contrastive Learning

Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Characterization and Learning of Causal Graphs with Small Conditioning Sets

Murat Kocaoglu
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs

Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions

Duligur Ibeling, Thomas Icard
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song
Curvature Filtrations for Graph Generative Model Evaluation

Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion

Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

Zhiqing Sun, Yiming Yang
Data-Centric Learning from Unlabeled Graphs with Diffusion Model

Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems

Fiona Lippert, Bart Kranstauber, Emiel van Loon, Patrick Forré
Deep Insights into Noisy Pseudo Labeling on Graph Data

Botao WANG, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
Demystifying Oversmoothing in Attention-Based Graph Neural Networks

Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs

CHEN SHENGYUAN, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection

Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks

Xin Yan, Qiang He, Hui Fang
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data

Saptarshi Roy, Raymond K. W. Wong, Yang Ni
Directional Diffusion Model for Graph Representation Learning

Run Yang, Yuling Yang, Fan Zhou, Qiang Sun
Does Graph Distillation See Like Vision Dataset Counterpart?

Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
Efficient Learning of Linear Graph Neural Networks via Node Subsampling

Seiyun Shin, Ilan Shomorony, Han Zhao
Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph

Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Equivariant Neural Operator Learning with Graphon Convolution

Chaoran Cheng, Jian Peng
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis

Junfeng Fang, Wei Liu, Xiang Wang, Zemin Liu, An Zhang, Yuan Gao, Xiangnan He
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts

Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Evaluating Self-Supervised Learning for Molecular Graph Embeddings

Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes

Cai Zhou, Xiyuan Wang, Muhan Zhang
Fair Graph Distillation

Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
Fast Approximation of Similarity Graphs with Kernel Density Estimation

Peter Macgregor, He Sun
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong
Fine-grained Expressivity of Graph Neural Networks

Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
Fragment-based Pretraining and Finetuning on Molecular Graphs

Kha-Dinh Luong, Ambuj K Singh
From Trainable Negative Depth to Edge Heterophily in Graphs

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge

Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
GALOPA: Graph Transport Learning with Optimal Plan Alignment

Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection

Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels

Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
Generalised f-Mean Aggregation for Graph Neural Networks

Ryan Kortvelesy, Steven D Morad, Amanda Prorok
Generative Pre-Training of Spatio-Temporal Graph Neural Networks

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
Geometric Analysis of Matrix Sensing over Graphs

Haixiang Zhang, Ying Chen, Javad Lavaei
Graph Clustering with Graph Neural Networks

Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
Graph Convolutional Kernel Machine versus Graph Convolutional Networks

Zhihao Wu, Zhao Zhang, Jicong Fan
Graph Denoising Diffusion for Inverse Protein Folding

Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang
Graph of Circuits with GNN for Exploring the Optimal Design Space

Aditya Shahane, Saripilli Swapna Manjiri, Sandeep Kumar, Ankesh Jain
Graph-Structured Gaussian Processes for Transferable Graph Learning

Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He
GraphACL: Simple Asymmetric Contrastive Learning of Graphs

Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph

Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search

Xiao Zang, Miao Yin, Jinqi Xiao, Saman Zonouz, Bo Yuan
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Node Patching

Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
Graphs Contrastive Learning with Stable and Scalable Spectral Encoding

Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits

Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning

Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion

Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network

Yixiao Zhou, Ruiqi Jia, Xiaoqing Lyu, Yumeng Zhao, Hefeng Quan, Hongxiang Lin
Interpretable Graph Networks Formulate Universal Algebra Conjectures

Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
Interpretable Prototype-based Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Chanyoung Park
Intervention Generalization: A View from Factor Graph Models

Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy

Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization

Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embedding

Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
Language Semantic Graph Guided Data-Efficient Learning

Wenxuan Ma, Shuang Li, lincan Cai, Jingxuan Kang
Large sample spectral analysis of graph-based multi-manifold clustering

Nicolas Garcia Trillos, Pengfei He, Chenghui Li
Latent Graph Inference with Limited Supervision

Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Xiao Wang, Donglin Xia, Nian Liu, Chuan Shi
Learning Large Graph Property Prediction via Graph Segment Training

Kaidi Cao, Phitchaya Phothilimtha, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Latent Causal Graphs with Unknown Interventions

Yibo Jiang, Bryon Aragam
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen
Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion

Kunxun Qi, Jianfeng Du, Hai Wan
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan
Limits, approximation and size transferability for GNNs on sparse graphs via graphops

Thien Le, Stefanie Jegelka
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference

Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT

Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees

Shangyuan LIU, Linglingzhi Zhu, Anthony Man-Cho So
Lovász Principle for Unsupervised Graph Representation Learning

Ziheng Sun, Chris Ding, Jicong Fan
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network

Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy

Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris Maddison, Lei Han
Mitigating the Popularity Bias in Graph-based Collaborative Filtering

Yifei Zhang, Hao Zhu, yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data

Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion

Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum

Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu
Network Regression with Graph Laplacians

Yidong Zhou, Hans-Georg Müller
Neural Graph Generation from Graph Statistics

Kiarash Zahirnia, Oliver Schulte, Mark Coates, Yaochen Hu
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem

Tal Amir, Steven Gortler, Ilai Avni, Ravina Ravina, Nadav Dym
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data

Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics

Anwar Said, Roza Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning

Zixing Song, Yifei Zhang, Irwin King
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data

Federico Errica
On Learning Necessary and Sufficient Causal Graphs

Hengrui Cai, Yixin Wang, Michael Jordan, Rui Song
On the Ability of Graph Neural Networks to Model Interactions Between Vertices

Noam Razin, Tom Verbin, Nadav Cohen
On the Minimax Regret for Online Learning with Feedback Graphs

Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Zhou Zhiyao, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning

Zixing Song, Yifei Zhang, Irwin King
Optimality of Message-Passing Architectures for Sparse Graphs

Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath
Outlier-Robust Gromov Wasserstein for Graph Data

Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis

Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
PRODIGY: Enabling In-context Learning Over Graphs

Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation

Jun-Yi Hang, Min-Ling Zhang
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference

Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen
PlanE: Representation Learning over Planar Graphs

Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ceylan
Practical Contextual Bandits with Feedback Graphs

Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily

Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
Private subgraph counting using alternatives to global sensitivity

Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti
Provable Training for Graph Contrastive Learning

Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals

Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Recurrent Temporal Revision Graph Networks

Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou
Relational Curriculum Learning for Graph Neural Network

Zheng Zhang, Junxiang Wang, Liang Zhao
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation

Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
Self-supervised Graph Neural Networks via Low-Rank Decomposition

Liang Yang, Runjie Shi, Qiuliang Zhang, bingxin niu, Zhen Wang, Chuan Wang, Xiaochun Cao
Sheaf Hypergraph Networks

Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió
Simplifying and Empowering Transformers for Large-Graph Representations

Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
Sparse Graph Learning from Spatiotemporal Time Series

Andrea Cini, Daniele Zambon, Cesare Alippi
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu
Structure preserving reversible and irreversible bracket dynamics for deep graph neural networks

Anthony Gruber, Kookjin Lee, Nathaniel Trask
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data

Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network

Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

Xueyuan Lin, Chengjin Xu, Haihong E, Fenglong Su, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo
Tailoring Self-Attention for Graph via Rooted Subtrees

Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
Taming Local Effects in Graph-based Spatiotemporal Forecasting

Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

Jialin Chen, Rex Ying
Temporal Graph Benchmark for Machine Learning on Temporal Graphs

Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
The Graphical Matrix Pencil Method: Exchangeable Distributions with Prescribed Subgraph Densities

Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
The expressive power of pooling in Graph Neural Networks

Filippo Maria Bianchi, Veronica Lachi
Towards Better Dynamic Graph Learning: New Architecture and Unified Library

Le Yu, Leilei Sun, Bowen Du, Weifeng Lv
Towards Label Position Bias in Graph Neural Networks

Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang
Towards Self-Interpretable Graph-Level Anomaly Detection

Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

Phitchaya Phothilimtha, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks

Jun Yin, Senzhang Wang, Hao Yan, Chaozhuo Li, Jianxun Lian
Transformers over Directed Acyclic Graphs

Yuankai Luo, Veronika Thost, Lei Shi
Truncated Affinity Maximization for Graph Anomaly Detection

Hezhe Qiao, Guansong Pang
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction

Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec
Universal Prompt Tuning for Graph Neural Networks

Taoran Fang, Yunchao Zhang, YANG YANG, Chunping Wang, Lei Chen
Unleashing the Power of Graph Data Augmentation on Covariate Shift

Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision

Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs

Jun Yin, Senzhang Wang, Chaozhuo Li, Xing Xie, Jianxin Wang
Variational Annealing on Graphs for Combinatorial Optimization

Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos

Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding

Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding

Nicolas Keriven, Samuel Vaiter
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability

Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
Zero-One Laws of Graph Neural Networks

Sam Adam-Day, Iliant, Ismail Ceylan
[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification

Ermin Omeragic, Vuk Đuranović
[Re] On Explainability of Graph Neural Networks via Subgraph Explorations

Yannik Mahlau, Lukas Berg, Leonie Kayser

CIKM-2023

Knowledge Graphs for Knowing More and Knowing for Sure

Steffen Staab
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs

Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova
GraphERT-- Transformers-based Temporal Dynamic Graph Embedding

Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling

Vedangi Bengali, Nate Veldt
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer

Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen
How Expressive are Graph Neural Networks in Recommendation?

Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
Learning Pair-Centric Representation for Link Sign Prediction with Subgraph

Jushuo Chen, Feifei Dai, Xiaoyan Gu, Haihui Fan, Jiang Zhou, Bo Li, Weiping Wang
Can Knowledge Graphs Simplify Text?

Anthony Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang
Cross-heterogeneity Graph Few-shot Learning

Pengfei Ding, Yan Wang, Guanfeng Liu
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network

Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion

Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks

Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros
Homophily-enhanced Structure Learning for Graph Clustering

Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation

Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo
Targeted Shilling Attacks on GNN-based Recommender Systems

Sihan Guo, Ting Bai, Weihong Deng
Interpretable Fake News Detection with Graph Evidence

Hao Guo, Weixin Zeng, Jiuyang Tang, Xiang Zhao
Towards Fair Graph Neural Networks via Graph Counterfactual

Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning

Xinrui He, Tianxin Wei, Jingrui He
Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation

Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu, Fuji Ren
HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan
Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation

Haozhe Hu, Yongquan Jiang, Yan Yang, Jim X. Chen
Independent Distribution Regularization for Private Graph Embedding

Qi Hu, Yangqiu Song
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs

Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning

Lucas Jarnac, Miguel Couceiro, Pierre Monnin
Robust Graph Clustering via Meta Weighting for Noisy Graphs

Hyeonsoo Jo, Fanchen Bu, Kijung Shin
A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings

Narayanan Asuri Krishnan, Carlos R. Rivero
A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering

Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series

Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae
GUARD: Graph Universal Adversarial Defense

Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks

Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
Heterogeneous Temporal Graph Neural Network Explainer

Jiazheng Li, Chunhui Zhang, Chuxu Zhang
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation

Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs

Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao
Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs

Junlin Li, Yueheng Sun, Minglai Shao
THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks

Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang
Retrieving GNN Architecture for Collaborative Filtering

Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning

Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan, Pu-Jen Cheng
MATA: Combining Learnable Node Matching with A Algorithm for Approximate Graph Edit Distance Computation**

Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding

Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation

Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Xuyun Zhang
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph

Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning

Yunzhong Lou, Xueyang Li, Haotian Chen, Xiangdong Zhou
Timestamps as Prompts for Geography-Aware Location Recommendation

Yan Luo, Haoyi Duan, Ye Liu, Fu-Lai Chung
Improving Long-Tail Item Recommendation with Graph Augmentation

Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations

Yiqin Lv, Zhiliang Tian, Zheng Xie, Yiping Song
A Graph Neural Network Model for Concept Prerequisite Relation Extraction

Debjani Mazumder, Jiaul H. Paik, Anupam Basu
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification

Arpit Merchant, Carlos Castillo
Rule-based Knowledge Graph Completion with Canonical Models

Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction

Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation

Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs

Masoud Rehyani Hamedani, Jin-Su Ryu, Sang-Wook Kim
Dual-Process Graph Neural Network for Diversified Recommendation

Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao
Incremental Graph Classification by Class Prototype Construction and Augmentation

Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou
Seq-HyGAN: Sequence Classification via Hypergraph Attention Network

Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir, Muhammad Ifte Khairul Islam, Esra Akbas
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network

Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li
Improving Graph Domain Adaptation with Network Hierarchy

Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction

Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning

Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks

Zixing Song, Yuji Zhang, Irwin King
Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data

Xiao Tan, Yangyang Shen, Meng Wang, Beilun Wang
Explainable Spatio-Temporal Graph Neural Networks

Jiabin Tang, Lianghao Xia, Chao Huang
Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction

Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation

Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features

Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang
UrbanFloodKG: An Urban Flood Knowledge Graph System for Risk Assessment

Yu Wang, Feng Ye, Binquan Li, Gaoyang Jin, Dong Xu, Fengsheng Li
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation

Shuang Wang, Bahaeddin Eravci, Rustam Guliyev, Hakan Ferhatosmanoglu
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks

Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi
Dual Intents Graph Modeling for User-centric Group Discovery

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang
SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily

Bin Wu, Xinyu Yao, Boyan Zhang, Kuo-Ming Chao, Yinsheng Li
DPGN: Denoising Periodic Graph Network for Life Service Recommendation

Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge

Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Causality-guided Graph Learning for Session-based Recommendation

Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu
MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction

Mengyi Yuan, Minjie Chen, Xiang Li
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange

Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li
RDGSL: Dynamic Graph Representation Learning with Structure Learning

Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation

Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs

Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities

Jingdan Zhang, Jiaan Wang, Xiaodan Wang, Zhixu Li, Yanghua Xiao
Efficient Exact Minimum k-Core Search in Real-World Graphs

Qifan Zhang, Shengxin Liu
HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce

Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang, Guang Wang
Geometric Graph Learning for Protein Mutation Effect Prediction

Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs

Tianyi Zhao, Hui Hu, Lu Cheng
Decentralized Graph Neural Network for Privacy-Preserving Recommendation

Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer

Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs

Bradley Ashmore, Lingwei Chen
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction

Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems

Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Self-supervised Learning and Graph Classification under Heterophily

Yilin Ding, Zhen Liu, Hao Hao
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network

Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
KGPR: Knowledge Graph Enhanced Passage Ranking

Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
Neighborhood Homophily-based Graph Convolutional Network

Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks

Nicolas Heist, Sven Hertling, Heiko Paulheim
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification

Shweta Ann Jacob, Paul Louis, Amirali Salehi-Abari
S-Mixup: Structural Mixup for Graph Neural Networks

Junghurn Kim, Sukwon Yun, Chanyoung Park
Class Label-aware Graph Anomaly Detection

Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach

Dahee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning

Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network

Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation

Shaohua Liu, Yu Qi, Gen Li, Mingjian Chen, Teng Zhang, Jia Cheng, Jun Lei
FairGraph: Automated Graph Debiasing with Gradient Matching

Yezi Liu
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection

Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
Metapath-Guided Data-Augmentation For Knowledge Graphs

Saurav Manchanda
Learning Visibility Attention Graph Representation for Time Series Forecasting

Shengzhong Mao, Xiao-Jun Zeng
Graph Contrastive Learning with Graph Info-Min

En Meng, Yong Liu
Generative Graph Augmentation for Minority Class in Fraud Detection

Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang
Efficient Differencing of System-level Provenance Graphs

Yuta Nakamura, Iyad Kanj, Tanu Malik
VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs

Mina Samizadeh, Guangmo Tong
Network Embedding with Adaptive Multi-hop Contrast

Chenhao Wang, Yong Liu, Yan Yang
Training Heterogeneous Graph Neural Networks using Bandit Sampling

Ta-Yang Wang, Rajgopal Kannan, Viktor Prasanna
Adaptive Graph Neural Diffusion for Traffic Demand Forecasting

Yiling Wu, Xinfeng Zhang, Yaowei Wang
Geometry Interaction Augmented Graph Collaborative Filtering

Jie Xu, Chaozhuo Li
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning

Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
Positive-Unlabeled Node Classification with Structure-aware Graph Learning

Hansi Yang, Yongqi Zhang, Quanming Yao, James Kwok
Graph-based Alignment and Uniformity for Recommendation

Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation

Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
Knowledge Graph Error Detection with Hierarchical Path Structure

Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs

Ke Zhang, Jiageng Chen, Zixian Huang, Gong Cheng
LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals

Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs

Mirela Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J.M. Traina, Christos Faloutsos
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation

Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail Tutar, Changhe Yuan
FAF: A Risk Detection Framework on Industry-Scale Graphs

Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng, Binjie Fei
Graph Learning for Exploratory Query Suggestions in an Instant Search System

Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan
GBTTE: Graph Attention Network Based Bus Travel Time Estimation

Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang
GraphFC: Customs Fraud Detection with Label Scarcity

Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks

Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao
Logistics Audience Expansion via Temporal Knowledge Graph

Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang
Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation

Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation

Cong Zhang, Dongyang Liu, Lin Zuo, Junlan Feng, Chao Deng, Jian Sun, Haitao Zeng, Yaohong Zhao
Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat

Jiawei Zheng, Hao Gu, Chonggang Song, Dandan Lin, Lingling Yi, Chuan Chen
The µ-RA System for Recursive Path Queries over Graphs

Amela Fejza, Pierre Genevès, Nabil Layaïda, Sarah Chlyah
Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning

Dongqi Fu
A Neuro-symbolic Approach to Enhance Interpretability of Graph Neural Network through the Integration of External Knowledge

Kislay Raj
Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning

Mingkun Xu
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings

Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez
From User Activity Traces to Navigation Graph for Software Enhancement: An Application of Graph Neural Network (GNN) on a Real-World Non-Attributed Graph

Ikram Boukharouba, Florence Sèdes, Christophe Bortolaso, Florent Mouysset
Astrolabe: Visual Graph Database Queries with Tabular Output

Michael Miller
Workshop on Enterprise Knowledge Graphs using Large Language Models

Rajeev Gupta, Srinath Srinivasa
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

Eric W. Lee, Joyce C. Ho
Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks

Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning

Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng

AAAI-2023

Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis

Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels

Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen
Asynchronous Event Processing with Local-Shift Graph Convolutional Network

Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu
Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval

Yawen Zeng, Qin Jin, Tengfei Bao, Wenfeng Li
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis

Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu
Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs

Erel Cohen, Omer Lev, Roie Zivan
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items

Huajie Chen, Jiyuan He, Weisheng Xu, Tao Feng, Ming Liu, Tianyu Song, Runfeng Yao, Yuanyuan Qiao
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding

Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks

Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction

Chanyoung Chung, Joyce Jiyoung Whang
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
DropMessage: Unifying Random Dropping for Graph Neural Networks

Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning

Xumeng Gong, Cheng Yang, Chuan Shi
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling

Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation

Han Huang, Leilei Sun, Bowen Du, Weifeng Lv
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation

Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning

Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
GLCC: A General Framework for Graph-Level Clustering

Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
Signed Laplacian Graph Neural Networks

Yu Li, Meng Qu, Jian Tang, Yi Chang
Scalable and Effective Conductance-Based Graph Clustering

Longlong Lin, Ronghua Li, Tao Jia
Multi-Domain Generalized Graph Meta Learning

Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings

Jiajun Liu, Peng Wang, Ziyu Shang, Chenxiao Wu
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent CS Lee, Shirui Pan
On Generalized Degree Fairness in Graph Neural Networks

Zemin Liu, Trung-Kien Nguyen, Yuan Fang
Graph Structure Learning on User Mobility Data for Social Relationship Inference

Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces

Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information

Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout

Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment

Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray Buntine, Christopher Leckie
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework

Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection

Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu
Next POI Recommendation with Dynamic Graph and Explicit Dependency

Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han
Learning to Count Isomorphisms with Graph Neural Networks

Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator

Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang
Deep Graph Structural Infomax

Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang
A Provable Framework of Learning Graph Embeddings via Summarization

Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification

Mengting Zhou, Zhiguo Gong
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM

Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis

Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer

Yongju Lee, Hyunho Lee, Kyoungseob Shin, Sunghoon Kwon
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs

Fang Wu, Dragomir Radev, Stan Z. Li
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction

Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing

Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan
Generalizing Downsampling from Regular Data to Graphs

Davide Bacciu, Alessio Conte, Francesco Landolfi
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions

Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning

Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng
Graph Ordering Attention Networks

Michail Chatzianastasis, Johannes Lutzeyer, George Dasoulas, Michalis Vazirgiannis
Attribute and Structure Preserving Graph Contrastive Learning

Jialu Chen, Gang Kou
Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding

Qianyu Chen, Xin Li, Kunnan Geng, Mingzhong Wang
Topological Pooling on Graphs

Yuzhou Chen, Yulia R. Gel
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning

Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
Scalable Spatiotemporal Graph Neural Networks

Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials

Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning

Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution

Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
Directed Acyclic Graph Structure Learning from Dynamic Graphs

Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees

Zhongxi Fang, Jianming Huang, Xun Su, Hiroyuki Kasai
Scalable Attributed-Graph Subspace Clustering

Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
Interpolating Graph Pair to Regularize Graph Classification

Hongyu Guo, Yongyi Mao
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition

Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
Self-Supervised Bidirectional Learning for Graph Matching

Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu
Boosting Graph Neural Networks via Adaptive Knowledge Distillation

Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

Thi Kieu Khanh Ho, Narges Armanfard
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering

Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning

Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs

Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters

Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling

Konstantin Kutzkov
I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs

Dongjin Lee, Kijung Shin
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning

Jong-whi Lee, Jinhong Jung
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

Chao Li, Hao Xu, Kun He
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering

Shouheng Li, Dongwoo Kim, Qing Wang
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network

Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Huang Yongxiang, Caleb Chen Cao
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering

Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He
Hard Sample Aware Network for Contrastive Deep Graph Clustering

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos
Boundary Graph Neural Networks for 3D Simulations

Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Multiplex Graph Representation Learning via Common and Private Information Mining

Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Inferring Patient Zero on Temporal Networks via Graph Neural Networks

Xiaolei Ru, Jack Murdoch Moore, Xin-Ya Zhang, Yeting Zeng, Gang Yan
Neighbor Contrastive Learning on Learnable Graph Augmentation

Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Metric Multi-View Graph Clustering

Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang
Heterogeneous Graph Masked Autoencoders

Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network

Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability

Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang
Non-IID Transfer Learning on Graphs

Jun Wu, Jingrui He, Elizabeth Ainsworth
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework

Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks

Yihan Wu, Aleksandar Bojchevski, Heng Huang
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction

Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis

Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò
Reinforcement Causal Structure Learning on Order Graph

Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
Simple and Efficient Heterogeneous Graph Neural Network

Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan
Cluster-Guided Contrastive Graph Clustering Network

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu
Lifelong Compression Mixture Model via Knowledge Relationship Graph

Fei Ye, Adrian G. Bors
Random Walk Conformer: Learning Graph Representation from Long and Short Range

Pei-Kai Yeh, Hsi-Wen Chen, Ming-Syan Chen
Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering

Jiali You, Zhenwen Ren, Xiaojian You, Haoran Li, Yuancheng Yao
Substructure Aware Graph Neural Networks

DingYi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Dynamic Heterogeneous Graph Attention Neural Architecture Search

Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu
Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion

Shuping Zhao, Jie Wen, Lunke Fei, Bob Zhang
Data Imputation with Iterative Graph Reconstruction

Jiajun Zhong, Ning Gui, Weiwei Ye
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models

Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura
Fair Short Paths in Vertex-Colored Graphs

Matthias Bentert, Leon Kellerhals, Rolf Niedermeier
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks

Angelina Brilliantova, Hannah Miller, Ivona Bezáková
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction

Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang
Graph Component Contrastive Learning for Concept Relatedness Estimation

Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King
Improving Interpretability via Explicit Word Interaction Graph Layer

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning

Jiasheng Si, Yingjie Zhu, Deyu Zhou
Continual Graph Convolutional Network for Text Classification

Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang

ICLR-2023

Towards Open Temporal Graph Neural Networks

Kaituo Feng, Changsheng Li, Xiaolu Zhang, JUN ZHOU
AutoGT: Automated Graph Transformer Architecture Search

Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu
Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Graph Neural Networks for Link Prediction with Subgraph Sketching

Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire
Do We Really Need Complicated Model Architectures For Temporal Networks?

Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
Learning on Large-scale Text-attributed Graphs via Variational Inference

Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

Guangji Bai, Chen Ling, Liang Zhao
Learning Fair Graph Representations via Automated Data Augmentations

Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
Spectral Augmentation for Self-Supervised Learning on Graphs

Lu Lin, Jinghui Chen, Hongning Wang
Serving Graph Compression for Graph Neural Networks

Si Si, Felix Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar
Effects of Graph Convolutions in Multi-layer Networks

Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
Relational Attention: Generalizing Transformers for Graph-Structured Tasks

Cameron Diao, Ricky Loynd
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Yi-Lun Liao, Tess Smidt
Learning rigid dynamics with face interaction graph networks

Kelsey R Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William F Whitney, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff
Relational Attention: Generalizing Transformers for Graph-Structured Tasks

Cameron Diao, Ricky Loynd
Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Derek Lim, Joshua David Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion

Aleksandar Pavlović, Emanuel Sallinger
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency

Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
On Representing Linear Programs by Graph Neural Networks

Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks

Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
MeshDiffusion: Score-based Generative 3D Mesh Modeling

Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence

Zhihao Shi, Xize Liang, Jie Wang
Learning Controllable Adaptive Simulation for Multi-resolution Physics

Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec
Automated Data Augmentations for Graph Classification

Youzhi Luo, Michael Curtis McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization

Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh Chawla, Chuxu Zhang
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective

Kuan Li, Yang Liu, Xiang Ao, Qing He
Agent-based Graph Neural Networks

Karolis Martinkus, Pál András Papp, Benedikt Schesch, Roger Wattenhofer
Characterizing the Influence of Graph Elements

Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
Limitless Stability for Graph Convolutional Networks

Christian Koke
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
Empowering Graph Representation Learning with Test-Time Graph Transformation

Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
N-WL: A New Hierarchy of Expressivity for Graph Neural Networks

Qing Wang, Dillon Ze Chen, Asiri Wijesinghe, Shouheng Li, Muhammad Farhan
Are More Layers Beneficial to Graph Transformers?

Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei
Strategic Classification with Graph Neural Networks

Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
Robust Graph Dictionary Learning

Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
Specformer: Spectral Graph Neural Networks Meet Transformers

Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao
DiGress: Discrete Denoising diffusion for graph generation

Clement Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming

Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning

Zehao Niu, Mihai Anitescu, Jie Chen
Explaining Temporal Graph Models through an Explorer-Navigator Framework

Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
Learning Symbolic Models for Graph-structured Physical Mechanism

Hongzhi Shi, Jingtao Ding, Yufan Cao, quanming yao, Li Liu, Yong Li
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data

Eli Chien, Chao Pan, Olgica Milenkovic
Imitating Graph-Based Planning with Goal-Conditioned Policies

Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

Namyong Park, Ryan A. Rossi, Nesreen Ahmed, Christos Faloutsos
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing

Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective

Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang
Grounding Graph Network Simulators using Physical Sensor Observations

Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
Graph Contrastive Learning for Skeleton-based Action Recognition

Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps

Kiarash Jamali, Dari Kimanius, Sjors HW Scheres
Energy-based Out-of-Distribution Detection for Graph Neural Networks

Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
Rethinking Graph Lottery Tickets: Graph Sparsity Matters

Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems

Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network

Seungwoong Ha, Hawoong Jeong
GReTo: Remedying dynamic graph topology-task discordance via target homophily

Zhengyang Zhou, qihe huang, Gengyu Lin, Kuo Yang, LEI BAI, Yang Wang
Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks

Cheng Zhang
Unveiling the sampling density in non-uniform geometric graphs

Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules

Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
Diffusion Models for Causal Discovery via Topological Ordering

Pedro Sanchez, Xiao Liu, Alison Q O'Neil, Sotirios A. Tsaftaris
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning

Deyao Zhu, Li Erran Li, Mohamed Elhoseiny
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs

Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montufar
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks

Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
Revisiting Robustness in Graph Machine Learning

Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann
Learnable Graph Convolutional Attention Networks

Adrián Javaloy, Pablo Sanchez Martin, Amit Levi, Isabel Valera
Matching receptor to odorant with protein language and graph neural networks

Matej Hladiš, Maxence Lalis, Sebastien Fiorucci, Jérémie Topin
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation

Kai Xu, Georgi Ganev, Emile Joubert, Rees Davison, Olivier Van Acker, Luke Robinson
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova
Fair Attribute Completion on Graph with Missing Attributes

Dongliang Guo, Zhixuan Chu, Sheng Li
Multimodal Analogical Reasoning over Knowledge Graphs

Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen
Global Explainability of GNNs via Logic Combination of Learned Concepts

Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Lio, Andrea Passerini
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks

Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik
A2Q: Aggregation-Aware Quantization for Graph Neural Networks

Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
Graph Domain Adaptation via Theory-Grounded Spectral Regularization

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Learning Hierarchical Protein Representations via Complete 3D Graph Networks

Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States

Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation

Yun Young Choi, Sun Woo Park, Youngho Woo, U Jin Choi
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks

Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks

Alessio Gravina, Davide Bacciu, Claudio Gallicchio
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks

Xiaoqi Wang, Han Wei Shen
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks

Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs

Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron N Musco
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning

Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Bian Cheng, Yizhou Yu
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems

Zhongyuan Zhao, Ananthram Swami, Santiago Segarra
Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions

Moritz Thürlemann, Sereina Riniker
CktGNN: Circuit Graph Neural Network for Electronic Design Automation

Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
Confidence-Based Feature Imputation for Graphs with Partially Known Features

Daeho Um, Jiwoong Park, Seulki Park, Jin young Choi
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves
Neural Compositional Rule Learning for Knowledge Graph Reasoning

Kewei Cheng, Nesreen Ahmed, Yizhou Sun
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks

Wenqian Li, Yinchuan Li, Zhigang Li, Jianye HAO, Yan Pang
On Representing Mixed-Integer Linear Programs by Graph Neural Networks

Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph

Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen
Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks

Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
Subsampling in Large Graphs Using Ricci Curvature

Shushan Wu, Huimin Cheng, Jiazhang Cai, Ping Ma, Wenxuan Zhong
Spacetime Representation Learning

Marc T. Law, James Lucas
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning

Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
A Message Passing Perspective on Learning Dynamics of Contrastive Learning

Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
A Differential Geometric View and Explainability of GNN on Evolving Graphs

Yazheng Liu, Xi Zhang, Sihong Xie
Link Prediction with Non-Contrastive Learning

William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Learning to Induce Causal Structure

Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin
Logical Message Passing Networks with One-hop Inference on Atomic Formulas

Zihao Wang, Yangqiu Song, Ginny Wong, Simon See
Fundamental Limits in Formal Verification of Message-Passing Neural Networks

Marco Sälzer, Martin Lange
Robust Scheduling with GFlowNets

David W Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion

Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
O-GNN: incorporating ring priors into molecular modeling

Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Molecule Generation For Target Protein Binding with Structural Motifs

ZAIXI ZHANG, Yaosen Min, Shuxin Zheng, Qi Liu
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming

Qingyu Han, Linxin Yang, Qian Chen, Xiang Zhou, Dong Zhang, Akang Wang, Ruoyu Sun, Xiaodong Luo
Label Propagation with Weak Supervision

Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond

Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem

Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola
On Explaining Neural Network Robustness with Activation Path

Ziping Jiang
Equivariant Hypergraph Diffusion Neural Operators

Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
Interpretable Geometric Deep Learning via Learnable Randomness Injection

Siqi Miao, Yunan Luo, Mia Liu, Pan Li
Protein Representation Learning by Geometric Structure Pretraining

Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction

Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs

Siheng Xiong, Yuan Yang, Faramarz Fekri, James Clayton Kerce
Boosting Causal Discovery via Adaptive Sample Reweighting

An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua

WSDM-2023

BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs

Srinivas Virinchi, Anoop Saladi
Simplifying Graph-based Collaborative Filtering for Recommendation

Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation

Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan
Minimum Entropy Principle Guided Graph Neural Networks

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
Learning to Distill Graph Neural Networks

Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution

Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
Global Counterfactual Explainer for Graph Neural Networks

Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Effective Graph Kernels for Evolving Functional Brain Networks

Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu
Self-Supervised Graph Structure Refinement for Graph Neural Networks

Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Learning Stance Embeddings from Signed Social Graphs

John Pougué-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation

Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework

Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering

Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs

Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
Self-supervised Graph Representation Learning for Black Market Account Detection

Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
Alleviating Structural Distribution Shift in Graph Anomaly Detection

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation

Qingyu Bing, Qiannan Zhu, Zhicheng Dou
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation

Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation

Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu
Heterogeneous Graph Contrastive Learning for Recommendation

Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation

Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen
Robust Training of Graph Neural Networks via Noise Governance

Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu
Cooperative Explanations of Graph Neural Networks

Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection

Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Towards Faithful and Consistent Explanations for Graph Neural Networks

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Position-Aware Subgraph Neural Networks with Data-Efficient Learning

Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution

Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation

Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
Inductive Graph Transformer for Delivery Time Estimation

Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
Search Behavior Prediction: A Hypergraph Perspective

Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation

Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
Heterogeneous Graph-based Context-aware Document Ranking

Shuting Wang, Zhicheng Dou, Yutao Zhu
Graph Summarization via Node Grouping: A Spectral Algorithm

Arpit Merchant, Michael Mathioudakis, Yanhao Wang
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs

Linhao Luo, Gholamreza Haffari, Shirui Pan
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking

Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings

Yaguang Liu, Lisa Singh
Active Ensemble Learning for Knowledge Graph Error Detection

Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks

Yasushi Kawase, Atsushi Miyauchi, Hanna Sumita
Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval

Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang
Web of Conferences: A Conference Knowledge Graph

Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia
Developing and Evaluating Graph Counterfactual Explanation with GRETEL

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo
Generalizing Graph Neural Network across Graphs and Time

Zhihao Wen
Graphs: Privacy and Generation through ML

Rucha Bhalchandra Joshi
Data-Efficient Graph Learning Meets Ethical Challenges

Tao Tang
From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors

Venus Haghighi
Efficient Graph Learning for Anomaly Detection Systems

Falih Gozi Febrinanto

WWW-2023

GELTOR: A Graph Embedding Method based on Listwise Learning to Rank

Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim
Graph-less Collaborative Filtering

Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
Fair Graph Representation Learning via Diverse Mixture-of-Experts

Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
Multi-Aspect Heterogeneous Graph Augmentation

Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks

Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang
Collaboration-Aware Graph Convolutional Network for Recommender Systems

Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network

Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
Graph Self-supervised Learning with Augmentation-aware Contrastive Learning

Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation

Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters

Liangtian Wan, Xiaona Li, Huijin Han, Xiaoran Yan, Lu Sun, Zhaolong Ning, Feng Xia
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds

Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction

Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li
Robust Graph Representation Learning for Local Corruption Recovery

Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation

Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification

Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
Graph Neural Networks without Propagation

Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo
TIGER: Temporal Interaction Graph Embedding with Restarts

Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu
Self-Supervised Teaching and Learning of Representations on Graphs

Liangtian Wan, Zhenqiang Fu, Lu Sun, Xianpeng Wang, Gang Xu, Xiaoran Yan, Feng Xia
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
Homophily-oriented Heterogeneous Graph Rewiring

Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction

Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan
Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task

Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng
CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion

Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
Federated Node Classification over Graphs with Latent Link-type Heterogeneity

Han Xie, Li Xiong, Carl Yang
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs

Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
Semi-Supervised Embedding of Attributed Multiplex Networks

Ylli Sadikaj, Justus Rass, Yllka Velaj, Claudia Plant
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification

Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer

Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs

Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
Minimum Topology Attacks for Graph Neural Networks

Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks

Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang
GIF: A General Graph Unlearning Strategy via Influence Function

Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
Toward Degree Bias in Embedding-Based Knowledge Graph Completion

Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang
Unlearning Graph Classifiers with Limited Data Resources

Chao Pan, Eli Chien, Olgica Milenkovic
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks

Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
CogDL: A Comprehensive Library for Graph Deep Learning

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation

Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang
Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model

Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation

Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation

Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng
Robust Preference-Guided Denoising for Graph based Social Recommendation

Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng
Personalized Graph Signal Processing for Collaborative Filtering

Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Dynamically Expandable Graph Convolution for Streaming Recommendation

Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems

Heesoo Jung, Sangpil Kim, Hogun Park
Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Node-wise Diffusion for Scalable Graph Learning

Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization

Zheheng Luo, Qianqian Xie, Sophia Ananiadou
MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding

Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng
Curriculum Graph Poisoning

Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification

Haozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu
Unnoticeable Backdoor Attacks on Graph Neural Networks

Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding

Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
Event Prediction using Case-Based Reasoning over Knowledge Graphs

Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning

Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning

Xiangrong Zhu, Guangyao Li, Wei Hu
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura
Knowledge Graph Question Answering with Ambiguous Query

Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs

Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
Unsupervised Entity Alignment for Temporal Knowledge Graphs

Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao
Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion

Xin Ren, Luyi Bai, Qianwen Xiao, Xiangxi Meng
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion

Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs

Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer

Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen
TEA: Time-aware Entity Alignment in Knowledge Graphs

Yu Liu, Wen Hua, Kexuan Xin, Saeid Hosseini, Xiaofang Zhou
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models

Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab
Knowledge Graph Completion with Counterfactual Augmentation

Heng Chang, Jie Cai, Jia Li
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning

Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher
Message Function Search for Knowledge Graph Embedding

Shimin Di, Lei Chen
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks

Yue Hu, Yuhang Zhang, Yanbing Wang, Daniel B. Work
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space

Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs

Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
Learning to Simulate Crowd Trajectories with Graph Networks

Hongzhi Shi, Quanming Yao, Yong Li

ICDE-2023

Instant Representation Learning for Recommendation over Large Dynamic Graphs

Cheng Wu (Tsinghua University); Chaokun Wang (Tsinghua University); Jingcao Xu (Tsinghua University); ZiWei Fang (Tsinghua University); Tiankai Gu (Alibaba Group); Changping Wang (Kuai shou); Yang Song (Kuaishou Inc); Kai Zheng (Kuaishou); Xiaowei Wang (Beijing Kuaishou Technology Co., Ltd.); Guorui Zhou (Kuaishou Inc)*
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning

Shangfei Zheng (Soochow University); Weiqing Wang (Monash University); JIanfeng Qu (Soochow University); Hongzhi Yin (The University of Queensland); Wei Chen (Soochow University); Lei Zhao (Soochow University)*
Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction

Zetao Zheng (University of Electronic Science and Technology of China); Jie Shao (University of Electronic Science and Technology of China); Jia Zhu (Zhejiang Normal University); Heng Tao Shen (University of Electronic Science and Technology of China (UESTC))*
TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs

You Peng (University of New South Wales); Xuemin Lin (University of New South Wales); Michael R Yu (UNSW); Wenjie Zhang (University of New South Wales); Lu Qin (UTS)*
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction

Yufeng Zhang (Soochow University); Weiqing Wang (Monash University); Hongzhi Yin (The University of Queensland); Pengpeng Zhao (Soochow University); Wei Chen (Soochow University); Lei Zhao (Soochow University)*
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

Yuchen Fang (Beijing University of Posts and Telecommunications); Yanjun Qin (Beijing University of Posts and Telecommunications); Haiyong Luo (Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences); Fang Zhao (School of Software Engineering, Beijing University of Posts and Telecommunications); Bingbing Xu ( Institute of Computing Technology,University of Chinese Academy of Sciences); Liang Zeng (Tsinghua University); Chenxing Wang (Beijing University of Posts and Telecommunications)*
Jointly Attacking Graph Neural Network and its Explanations

“Wenqi FAN (The Hong Kong Polytechnic University); Han Xu (Michigan State University); Wei Jin (Michigan State University); Xiaorui Liu (North Carolina State University); Xianfeng Tang (Amazon); Suhang Wang (Pennsylvania State University); Qing Li (The Hong Kong Polytechnic University); Jiliang Tang (Michigan State University); Jianping Wang (City University of Hong Kong); Charu Aggarwal (IBM)”*
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks

Carl Yang (Emory University); Jiawei Han (UIUC)*
CLDG: Contrastive Learning on Dynamic Graphs

Yiming Xu (Xi’an Jiaotong University); Bin Shi (Xi’an jiaotong University); Teng Ma (Xi’an Jiaotong University); Bo Dong (Xi’an Jiaotong University); Haoyi Zhou (Beihang University); Qinghua Zheng (School of Electronic and Information Engineering, Xi’an Jiaotong University)*
Relational Message Passing for Fully Inductive Knowledge Graph Completion

Yuxia Geng (Zhejiang University); Jiaoyan Chen (The University of Manchester); Jeff Z. Pan (The University of Edinburgh); Mingyang Chen (Zhejiang University); Song Jiang (Huawei Technologies Co., Ltd); Wen Zhang (Zhejiang University); Huajun Chen (Zhejiang University)*
Layer-refined Graph Convolutional Networks for Recommendation

Xin Zhou (Nanyang Technological University); Donghui Lin (Okayama University); Yong Liu (Nanyang Technological University); Chunyan Miao (NTU)*
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation

Huizi Wu (Shanghai University of Finance and Economics); Hui Fang (Shanghai University of Finance and Economics); Zhu Sun (ASTAR); Cong Geng (Shanghai University of Finance and Economics); Xinyu Kong (Ant Group); Yew Soon Ong (Nanyang Technological University, Nanyang View, Singapore)
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network

Khaled Mohammed Saifuddin (Georgia State University); Briana Bumgardner (Rice University); Farhan Tanvir (Oklahoma State University); Esra Akbas (Georgia State University)*
Demystifying Bitcoin Address Behavior via Graph Neural Networks

Zhengjie Huang (Zhejiang University); Yunyang Huang (UESTC); Peng Qian (Zhejiang University); Jianhai Chen (Zhejiang University); Qinming He (Zhejiang University)*
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation

Kangzheng Liu (Huazhong University of Science and Technology); Feng Zhao (Huazhong University of Science and Technology); Guandong Xu (University of Technology Sydney, Australia); Xianzhi Wang (University of Technology Sydney); Hai Jin (Huazhong University of Science and Technology)*
Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning

Yu Wang (Beijing Institute of Technology); Jingfei Wu (Beijing Institute of Technology); Hua Xingyuan (School of Computer Science Beijing Institute of Technology); Chi Harold Liu (Beijing Institute of Technology); Guozheng Li (Beijing Institute of Technology); Jianxin Zhao (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)*
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting

Yusheng Zhao (Peking University); Xiao Luo (UCLA); Wei Ju (Peking University); Chong Chen (Peking University); Xian-Sheng Hua (Terminus Group); Ming Zhang (Peking University)*
Disentangled Graph Social Recommendation

Lianghao Xia (University of Hong Kong); Yizhen Shao (South China University of Technology); Chao Huang (University of Hong Kong); Yong Xu (South China University of Technology); Huance Xu (South China University of Technology); Jian Pei (Simon Fraser University)*
Fast Unsupervised Graph Embedding via Graph Zoom Learning

Ziyang Liu (Tsinghua University); Chaokun Wang (Tsinghua University); Yunkai Lou (Tsinghua University); Hao Feng (Tsinghua University)*
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network

Guanghui Zhu (Nanjing University); zhu zhennan (Nanjing University); Wenjie Wang (Nanjing University); Zhuoer Xu (Nanjing University); Chunfeng Yuan (Nanjing University); Yihua Huang (Nanjing University)*
Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism

Derong Xu (University of Science and Technology of China); jingbo zhou (Baidu Research); Tong Xu (University of Science and Technology of China); yuan xia (baidu); Ji Liu (Baidu Research); Enhong Chen (University of Science and Technology of China); Dejing Dou (Baidu)*
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs

Xiao Qin (AWS AI/ML); Nasrullah Sheikh (IBM); Chuan Lei (Amazon Web Services); Berthold Reinwald (IBM Research-Almaden); Giacomo Domeniconi (U.S. Bank)*

SIGMOD-2023

Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation

Yangxin Fan (Case Western Reserve University); Xuanji Yu (Case Western Reserve University); Raymond Wieser (Case Western Reserve University); David Meakin (SunPower Corporation); Avishai Shaton (SolarEdge Technologies); Jean-Nicolas Jaubert (CSI Solar Co.Ltd.); Robert Flottemesch (Brookfield Renewable U.S.); Michael Howell (C2 Energy Capital); Jennifer Braid (Sandia National Labs); Laura Bruckman (Case Western Reserve University); Roger H French (Case Western Reserve University); Yinghui Wu (Case Western Reserve University)*
Caerus: A Caching-based Framework for Scalable Temporal Graph Neural Networks

Yiming Li (Hong Kong University of Science and Technology); Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (Hong Kong University of Science and Technology); Mingxuan Yuan (Huawei)*
Scalable and Efficient Full-Graph GNN Training for Large Graphs

Xinchen Wan (HKUST); Kaiqiang Xu (HKUST); Xudong Liao (HKUST); Yilun Jin (The Hong Kong University of Science and Technology); Kai Chen (HKUST); Xin Jin (Peking University)
EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs

Haoyang Li (The Hong Kong University of Science and Technology); Lei Chen (Hong Kong University of Science and Technology);
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with GPU

Xin Zhang (Hong Kong University of Science and Technology); Yanyan Shen (Shanghai Jiao Tong University); Yingxia Shao (BUPT); Lei Chen (Hong Kong University of Science and Technology)

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Graph-Learning-2023.md

Graph-Learning-2023.md

Contents

IJCAI-2023

ICML-2023

KDD-2023

SIGIR-2023

NeurIPS-2023

CIKM-2023

AAAI-2023

ICLR-2023

WSDM-2023

WWW-2023

ICDE-2023

SIGMOD-2023

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