Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
Abstract: Accurate sleep staging for patients with sleep disorders requires the integration of multiple channels and various signal modalities. While graph convolutional networks (GCNs) have ...
Earlier this week we looked at how elite players train connection to keep their swings organized under pressure. Now, the focus shifts to balance and backswing coil, the foundation that allows speed ...
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 ...
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