RuVector is a High Performance, Real-Time, Self-Learning, Vector GNN, Memory DB 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

Reconstruct billions of particle trajectories with graph neural networks

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

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

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

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

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

GNN training in kubeflow.

PyTorch implementation of GNN models

8th place solution for the IceCube Neutrinos in Deep Ice competition

Using to predict the highway traffic speed

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

The official implementation of Convergent Graph Solvers (CGS)

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