Code for paper "PGRA: Projected Graph Relation-Feature Attention Network for Heterogeneous Information Network Embedding", Information Sciences. 2021.

This repo is for source code of SDM 2023 paper "Heterogeneous Graph Contrastive Multi-view Learning".

Layer-stacked Attention for Heterogeneous Graph Embedding

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

Implementation for "Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation"

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

A Deep Graph Library Custom HeteroGraph implementation of the LFM1b dataset

An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)

Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch

Developed an API which leverages graph-based cross domain ranking , community detection to make recommendations from a heterogeneous graph ecosystems.

Course project of SJTU CS3319: Foundations of Data Science, 2023 spring

Relational Deep Learning and Explainability of Graph Neural Network

[Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"

[ICASSP 2023] HeMI: Global and Nodal Mutual Information Maximization in Heterogeneous Graphs

This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Network".

Implementation for "CNN-Enhanced Heterogeneous Graph Convolutional Network: Inferring Land Use from Land Cover with a Case Study of Park Segmentation"

SI-HDGNN: Heterogeneous Dynamical Academic Network for Scientific Impact Propagation Learning

[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)

Transfer Learning within a Heterogeneous Graph