A gallery of graph machine learning (GraphML) models for biomedical knowledge graphs
-
Updated
Oct 3, 2023 - Python
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
Implementation of Complex Networks Algorithms
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
Official implementation of "Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding", IEEE TBD 2023.
✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
A GNN based approach to model player compatibility in Multiplayer Online Battle Arena (MOBA) games like Dota2.
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.
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
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.
[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
B站GNN教程资料
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
3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
Add a description, image, and links to the heterogeneous-graph-neural-network topic page so that developers can more easily learn about it.
To associate your repository with the heterogeneous-graph-neural-network topic, visit your repo's landing page and select "manage topics."