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)

✨ 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

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

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

Venue Prediction with bag of words + heterogenous information using sklearn SGDClassifier