Representation-Learning-on-Heterogeneous-Graph
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Updated
Mar 13, 2020
Representation-Learning-on-Heterogeneous-Graph
Heterogeneous Graph Neural Network
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
Developed an API which leverages graph-based cross domain ranking , community detection to make recommendations from a heterogeneous graph ecosystems.
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Layer-stacked Attention for Heterogeneous Graph Embedding
Code for paper "PGRA: Projected Graph Relation-Feature Attention Network for Heterogeneous Information Network Embedding", Information Sciences. 2021.
[EMNLP 2021] Code for our EMNLP 2021 paper “Heterogeneous Graph Neural Networks for Keyphrase Generation”
毕业设计:基于图神经网络的异构图表示学习和推荐算法研究
A Deep Graph Library Custom HeteroGraph implementation of the LFM1b dataset
Transfer Learning within a Heterogeneous Graph
[ICASSP 2023] HeMI: Global and Nodal Mutual Information Maximization in Heterogeneous Graphs
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
TigerLily: Finding drug interactions in silico with the Graph.
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
Course project of SJTU CS3319: Foundations of Data Science, 2023 spring
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