Convolutional neural networks (CNNs) have achieved better performance than traditional algorithms in electroencephalogram (EEG)-based emotion recognition tasks in recent years. However, as the number ...

Graph convolutional neural networks (GCNNs) are becoming a model of choice for learning on irregular domains. However, due to the black-box nature of NNs, their underlying principles are rarely ...