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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

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

links to conference publications in graph-based deep learning

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ???

Time series forecasting with PyTorch

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