Abstract: Activation function plays an important role in the construction of a neural network. Existing methods such as S-type and Rectified-type activation function have many deficiencies in terms of ...
Abstract: Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, such as ...
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