GFormer

Graph Neural Network Library for PyTorch

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

Gorse open source recommender system engine

Anomaly detection related books, papers, videos, and toolboxes

Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

links to conference publications in graph-based deep learning

A unified, comprehensive and efficient recommendation library

Fast Python Collaborative Filtering for Implicit Feedback Datasets