Representation-Learning-on-Heterogeneous-Graph
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Updated
Mar 13, 2020
Representation-Learning-on-Heterogeneous-Graph
KDD17_FMG
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"
Heterogeneous Information Network Datasets
[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
[DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)
Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)
A random-walk with restart algorithm over an enriched graph constructed using type-2 fuzzy data fusion.
Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction
The codes for CIKM 2021 paper "Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks"
Based on the HinDroid architecture outlined in the following paper: https://www.cse.ust.hk/~yqsong/papers/2017-KDD-HINDROID.pdf
Venue Prediction with bag of words + heterogenous information using sklearn SGDClassifier
HIN using Twitter Data
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
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