GitHub

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in ...

PyTorch version should be 0.3! For PyTorch0.4 or higher, the codes need to be modified. Now we have updated the code to >=Pytorch0.4. A new model named AAGCN is added, which can achieve better ...
IEEE

Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction

Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
IEEE

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation ...

Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...