heterogeneous-graph-neural-network

There are 28 repositories under heterogeneous-graph-neural-network topic.

  • Jhy1993/HAN

    Heterogeneous Graph Neural Network

    Language:Python1.1k1259222

  • cynricfu/MAGNN

    Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

    Language:Python40334771

  • kkteru/grail

    Inductive relation prediction by subgraph reasoning, ICML'20

    Language:Python23241458

  • X-LANCE/text2sql-lgesql

    [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".

    Language:Python14732437

  • XiaShan1227/GNN-Tutorial

    B站GNN教程资料

    Language:Jupyter Notebook1181013

  • taishan1994/pytorch_HAN

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

    Language:Python1043312

  • HKU-MedAI/WSI-HGNN

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

    Language:Python794157

  • EdisonLeeeee/ICDM2022_competition_3rd_place_solution

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

    Language:Python372114

  • rootlu/SIAN

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

    Language:Python322513

  • MANDO-Project/ge-sc

    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.

    Language:Solidity311618

  • BUPT-GAMMA/Space4HGNN

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

    Language:Python28015

  • MANDO-Project/ge-sc-machine

    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.

    Language:Python24005

  • gu-yaowen/REDDA

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

    Language:Python16306

  • gu-yaowen/MilGNet

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

    Language:Python13202

  • zhenzhang1998/Awesome-Heterogeneous-Neural-Network

    A List of Heterogeneous Neural Network Pappers

    Language:Python9201

  • CRIPAC-DIG/RHGN

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

    Language:Python8121

  • ImMohammadHosseini/HeCo

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

    Language:Python8200

  • CRIPAC-DIG/HeterFC

    Language:Python6114

  • bywmm/RE-GNN

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

    Language:Python5200

  • rutu-sh/player-compatibality-and-win-pred-in-dota2-using-graph-neural-networks

    A GNN based approach to model player compatibility in Multiplayer Online Battle Arena (MOBA) games like Dota2.

    4250
  • PPMI_MAGNN

    nmvdlei/PPMI_MAGNN

    Implements the MAGNN algorithm to predict concentration change sign for metabolites using protein-protein-metabolite interaction (PPMI) networks

    Language:Jupyter Notebook3201

  • BojarLab/GIFFLAR

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

    Language:Python2200

  • KienMN/COVID-19-in-Korea-graph

    COVID-19 patient classification in Korea using Heterogeneous Graph Neural Network.

    Language:Python2201

  • geraked/complex-networks

    Implementation of Complex Networks Algorithms

    Language:Jupyter Notebook120

  • shishixuezi/HiUrNet

    Implementation of the HiUrNet in the paper: Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction (ACM SIGSPATIAL 2024)

    Language:Python11

  • RomanoLab/graphml_models

    A gallery of graph machine learning (GraphML) models for biomedical knowledge graphs

    Language:Python0100

  • dinhngoc267/graph-neural-network

    Some implementations of graph neural network architectures using Pytorch

    Language:Jupyter Notebook

  • fork123aniket/Relational-Graph-Attention-from-Scratch

    Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch

    Language:Python10