Adaptive Graph Neural Network for Cross-Subject EEG Emotion Recognition Using Functional Connectivity
An adaptive Graph Neural Network framework for EEG-based emotion recognition is proposed, where EEG channels are modeled as graph nodes and functional connectivity is dynamically constructed using correlation-based relationships, confirming that adaptive graph construction improves functional brain connectivity represe...