CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition

HIGHLIGHTS

  • who: Jingjing Jia and collaborators from the School of Computer Engineering and Science, Shanghai University, Shanghai, China have published the research: CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition, in the Journal: (JOURNAL)
  • what: To address the issue in this paper the authors propose a novel method for EEG-based emotion recognition called CR-GCN: Channel-Relationships-based Graph Convolutional Network. To address the problem, the authors propose a new channel-relationships-based graph convolutional network (CR-GCN) method by exploiting the relationships among EEG channels. To describe the relationship among . . .

     

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