There are 114 repositories under graph-neural-networks topic.
Graph Neural Network Library for PyTorch
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Anomaly detection related books, papers, videos, and toolboxes
links to conference publications in graph-based deep learning
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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 - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Repository for benchmarking graph neural networks
Graph Neural Networks with Keras and Tensorflow 2.
Benchmark datasets, data loaders, and evaluators for graph machine learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
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!
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A powerful and flexible machine learning platform for drug discovery
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A Graph Neural Network Library in Jax
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
A Python Library for Graph Outlier Detection (Anomaly Detection)
An Industrial Graph Neural Network Framework
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
How Powerful are Graph Neural Networks?
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
🟠 A study guide to learn about Graph Neural Networks (GNNs)
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
A pytorch adversarial library for attack and defense methods on images and graphs