This project forked from xujiayang530/dgcnn
pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
License: MIT License
pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
Step 1: Download the SEED dataset, use partition.py to divide the original dataset into sessions
Step 2: Use extract_DE.py extract DE features from ExtractFeatures folder
Step 3: Run file main_DE_subject_independent.py to calculate subject-independent result, but the load path needs to be modified in advance
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