Graph neural networks (GNN) are increasingly used to classify EEG for tasks\nsuch as emotion recognition, motor imagery and neurological diseases and\ndisorders. A wide range of methods have been proposed to design GNN-based\nclassifiers. Therefore, there is a nā¦
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