gnn-model topic

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

THUDM

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

chengsen

The official implementation of Convergent Graph Solvers (CGS)

Junyoungpark

2021MXAP-DGL rank2

langgege-cqu

Reconstruct billions of particle trajectories with graph neural networks

gnn-tracking

Using to predict the highway traffic speed

zouguojian

STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting

Mouradost

Samyu0304

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

microsoft

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 fragme...

BAMeScience