Abstract: Graph convolutional networks (GCNs) have emerged as an effective approach to extend deep learning algorithms for graph-based data analytics. However, GCNs implementation over large, sparse ...

Abstract: Detecting depression from Electroencephalography (EEG) signals remains a challenging task due to the complexity of brain networks and the significant individual differences in neural ...