RuVector is a High Performance, Real-Time, Self-Learning, Vector Graph Neural Network, and Database built in Rust.

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

Code and Content for Manning Publication on Graph Neural Networks

The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification

STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting

Source Code of NeurIPS21 and T-PAMI24 paper: Recognizing Vector Graphics without Rasterization

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Reconstruct billions of particle trajectories with graph neural networks

Meet FIORA! An in silico fragmentation algorithm designed to predict tandem mass spectra (MS/MS) with high accuracy. Using graph neural networks, FIORA models bond cleavages, fragment intensities, and estimates retention times (RT) and collision cross sections (CCS).

2021MXAP-DGL rank2

Using to predict the highway traffic speed

with GUG, Let's explore the Graph Neural Network!

Multi-Modal Rumor Detection with Scene Graph Attention Networks Integrating External Knowledge and Evidence

PyTorch implementation of GNN models

A project emulating a GNN model which uses EEG data to identify depression in individuals.

The official implementation of Convergent Graph Solvers (CGS)

ML4FP 2025: notebooks used for the Machine Learning for Fundamental Physics (ML4FP) School 2025

An implementation from scratch of major Graph Neural Network (GNN) architectures using Numpy

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. In CIKM 2020.

A GNN model for the prediction of pure component vapor pressures.

Learning to Count Isomorphisms with Graph Neural Networks

Pytorch implementation of ProtoAU for recommendation.

Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.

CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.

"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."

An implementation of R-GCN model detection on IEEE-Fraud Detection Dataset,

GNN for Video Recommendation System

A collection of social datasets for RecBole-GNN.

This repository contains the official implementation of the paper titled "Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural Network", which was presented in the 18th International Conference on Document Analysis and Recognition (ICDAR 2024).

Explainable Vulnerability Detection in C/C++ Using Edge-Aware Graph Attention Networks