Figure 6

The framework of the DGCNN model for EEG emotion recognition, which consists of the graph convolutional operation, activation function and a fully connected layer. The inputs of the model are the EEG source signals, where each EEG source signal is represented as a node of the graph. The outputs are the predicted labels through softmax function.