Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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. Last update late 2025 for LLM and VLM works!

A unified, comprehensive and efficient recommendation library

RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.

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

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

StellarGraph - Machine Learning on Graphs

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

A distributed graph deep learning framework.

Repository for benchmarking graph neural networks (JMLR 2023)