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Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition
In the LTS-GAT, a divide-and-conquer scheme was used to examine local information on temporal and spatial dimensions of EEG patterns based on the graph attention mechanism.
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