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

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

2021MXAP-DGL rank2

Reconstruct billions of particle trajectories with graph neural networks

Using to predict the highway traffic speed

Fiora is an in silico fragmentation algorithm for small compounds that produces simulated tandem mass spectra (MS/MS). The framework employs a graph neural network to predict bond cleavages and fragment ion intensities via edge prediction. Additionally, Fiora can estimate retention times (RT) and collision cross sections (CCS) of the compounds.

The official implementation of Convergent Graph Solvers (CGS)

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

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

PyTorch implementation of GNN models

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

Learning to Count Isomorphisms with Graph Neural Networks

An implementation from scratch of Graph Convolutional Networks (GCN) using Numpy

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

Pytorch implementation of ProtoAU for recomandation.

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

A collection of social datasets for RecBole-GNN.