graph-neural-networks
There are 2000 repositories under graph-neural-networks topic.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
alibaba/GraphScope
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
cbamls/AI_Tutorial
精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
alibaba/euler
A distributed graph deep learning framework.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks (JMLR 2023)
danielegrattarola/spektral
Graph Neural Networks with Keras and Tensorflow 2.
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
THUDM/CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
graph4ai/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
DeepGraphLearning/torchdrug
A powerful and flexible machine learning platform for drug discovery
google-deepmind/jraph
A Graph Neural Network Library in Jax
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
alibaba/graph-learn
An Industrial Graph Neural Network Framework
amaiya/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
dair-ai/GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
lightaime/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
xiangwang1223/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
a-r-j/graphein
Protein Graph Library
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)