GraphOOD-EERM

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

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

links to conference publications in graph-based deep learning

A unified, comprehensive and efficient recommendation library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

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 distributed graph deep learning framework.