Before revision:  Existing studies do not exploit the topological structure of EEG signals effectively. Our RGNNmodel is biologically supported and captures both local and global inter-channel relations.
After revision:  Existing studies do not exploit the topological structure of EEG signals . In this paper, we propose a regularized graph neural network (RGNN) for EEG-based emotion recognition, which is biologically supported and captures both local and global inter-channel relations.