Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
IEEE

Bi-ACTCNet: A Bidirectional Channel Attention and Mutual-Cross-Attention Temporal Feature Extraction Network for Motor-Rest Classification in Motor Imagery

Abstract: Combining brain–computer interface (BCI) technology with the Internet of Things (IoT) for practical motor rehabilitation applications is a critical research direction aimed at enhancing the ...
IEEE

Connection Selection and Asymmetric Attention Mechanism for Brain Network Classification

Abstract: Brain network analysis plays a critical role in brain disease classification and diagnosis. Deep learning models such as graph neural networks (GNNs) and Transformers are widely applied to ...