Heterogeneous Graph Neural Network

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

Inductive relation prediction by subgraph reasoning, ICML'20

B站GNN教程资料

[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".

异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch

[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs

MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.

REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction

MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction

A List of Heterogeneous Neural Network Pappers

Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling

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

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

Glycan Informed Foundational Framework for Learning Abstract Representations, based on Combinatorial Complexes and Heterogeneous GNNs