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[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
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
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A system for quickly generating training data with weak supervision
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
links to conference publications in graph-based deep learning