A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019). Official PyTorch implementation of Superpoint Transformer ...

This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT, highlighting their potential advantages.

Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning and NYU-ECNU Center for Computational Chemistry, NYU Shanghai, Shanghai 200062, China Department of Chemistry, New York ...

Abstract: The existing approaches for skeleton-based action recognition based on graph convolutional networks (GCNs) primarily emphasize the construction of human skeletal structure by leveraging ...

Traditional convolutional neural networks (CNNs) and vision transformer (ViT) perform well but have large parameters and are time-consuming. In contrast, graph convolutional neural networks (GCNs ...

After updating Windows 11 to the latest 24H2 version, some PCs are experiencing problems with network and internet connections. It appears that the DHCP feature in Windows 11 is no longer working ...