There are 7 repositories under heterogeneous-graph-neural-network topic.
[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
B站GNN教程资料
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.
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.
:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling
A List of Heterogeneous Neural Network Pappers
A GNN based approach to model player compatibility in Multiplayer Online Battle Arena (MOBA) games like Dota2.
Implements the MAGNN algorithm to predict concentration change sign for metabolites using protein-protein-metabolite interaction (PPMI) networks
COVID-19 patient classification in Korea using Heterogeneous Graph Neural Network.
Implementation of Complex Networks Algorithms
A gallery of graph machine learning (GraphML) models for biomedical knowledge graphs
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch