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. Last update late 2025 for LLM and VLM works!

links to conference publications in graph-based deep learning

A unified, comprehensive and efficient recommendation library

RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.

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

StellarGraph - Machine Learning on Graphs

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

Graph Neural Networks with Keras and Tensorflow 2.

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

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

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

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

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

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

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!

A powerful and flexible machine learning platform for drug discovery

A Python Library for Graph Outlier Detection (Anomaly Detection)

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

An Industrial Graph Neural Network Framework

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Protein Graph Library

An autoML framework & toolkit for machine learning on graphs.

Programmable CUDA/C++ GPU Graph Analytics

A pytorch adversarial library for attack and defense methods on images and graphs

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).