CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
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Updated
Dec 9, 2023 - Python
CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Official implementation of "Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding", IEEE TBD 2023.
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
[DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
A Deep Graph Library Custom HeteroGraph implementation of the LFM1b dataset
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)
The codes for CIKM 2021 paper "Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks"
Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)
Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction
[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
Code for paper "PGRA: Projected Graph Relation-Feature Attention Network for Heterogeneous Information Network Embedding", Information Sciences. 2021.
Based on the HinDroid architecture outlined in the following paper: https://www.cse.ust.hk/~yqsong/papers/2017-KDD-HINDROID.pdf
Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"
Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
A random-walk with restart algorithm over an enriched graph constructed using type-2 fuzzy data fusion.
This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
Representation-Learning-on-Heterogeneous-Graph
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