graph-neural-networks

Graph Neural Network Library for PyTorch

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

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Anomaly detection related books, papers, videos, and toolboxes

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

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

StellarGraph - Machine Learning on Graphs

A distributed graph deep learning framework.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Repository for benchmarking graph neural networks (JMLR 2023)

Graph Neural Networks with Keras and Tensorflow 2.

Benchmark datasets, data loaders, and evaluators for graph machine learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).