Representation-Learning-on-Heterogeneous-Graph

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

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)

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"

[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)

Heterogeneous Information Network Datasets

Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction

Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)

[DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)

The source code for "Balanced Multi-Relational Graph Clustering" (BMGC) (Accepted by ACM International Conference on Multimedia)

✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

Official implementation of "Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding", IEEE TBD 2023.

CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Based on the HinDroid architecture outlined in the following paper: https://www.cse.ust.hk/~yqsong/papers/2017-KDD-HINDROID.pdf