gnn-model

RuVector is a High Performance, Real-Time, Self-Learning Ai, 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

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

STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting

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).

Reconstruct billions of particle trajectories with graph neural networks

Using to predict the highway traffic speed

2021MXAP-DGL rank2

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

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

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

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

PyTorch implementation of GNN models

The official implementation of Convergent Graph Solvers (CGS)

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

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

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