Heterogeneous Graph Neural Network
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Updated
May 6, 2020 - Python
Heterogeneous Graph Neural Network
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Inductive relation prediction by subgraph reasoning, ICML'20
[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".
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.
3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
B站GNN教程资料
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
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.
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling
A List of Heterogeneous Neural Network Pappers
COVID-19 patient classification in Korea using Heterogeneous Graph Neural Network.
A gallery of graph machine learning (GraphML) models for biomedical knowledge graphs
Implements the MAGNN algorithm to predict concentration change sign for metabolites using protein-protein-metabolite interaction (PPMI) networks
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