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Graph Neural Network Library for PyTorch

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

Anomaly detection related books, papers, videos, and toolboxes

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

links to conference publications in graph-based deep learning

A unified, comprehensive and efficient recommendation library

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

A python library for self-supervised learning on images.

A distributed graph deep learning framework.