There are 74 repositories under graph-neural-networks topic.

## pyg-team / pytorch_geometric

Graph Neural Network Library for PyTorch

## kmario23 / deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learningdeep-learningdeep-neural-networkspattern-recognitioncomputer-visionoptimizationvisual-recognitionreinforcement-learningdeep-reinforcement-learningnatural-language-processingartificial-neural-networksartificial-intelligence-algorithmsprobabilistic-graphical-modelsbayesian-statisticsspeech-recognitiongraph-neural-networksmedical-imaginggeometric-deep-learningexplainable-aiprobability## 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

## stellargraph / stellargraph

StellarGraph - Machine Learning on Graphs

- spektral
## danielegrattarola / spektral

Graph Neural Networks with Keras and Tensorflow 2.

## graphdeeplearning / benchmarking-gnns

Repository for benchmarking graph neural networks

## magicleap / SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

- GraphScope
## alibaba / GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

- pytorch_geometric_temporal
## benedekrozemberczki / pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

## 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.

## alibaba / graph-learn

An Industrial Graph Neural Network Framework

- AI_Tutorial
## cbamls / AI_Tutorial

精华机器学习，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

## weihua916 / powerful-gnns

How Powerful are Graph Neural Networks?

## lightaime / deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

## DeepGraphLearning / torchdrug

A powerful and flexible machine learning platform for drug discovery

## xiangwang1223 / knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

## ChandlerBang / awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

## Jiakui / awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

## dair-ai / GNNs-Recipe

🟠 A recipe to study Graph Neural Networks (GNNs)

## safe-graph / graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

## CRIPAC-DIG / SR-GNN

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

- ClusterGCN
## benedekrozemberczki / ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

## DSE-MSU / DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

## LirongWu / awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning