An implementation of a graph convolutional neural network for emotion recognition from EEG signals.
The .ipynb file is only a template based on SEED Dataset.
A 91.1 % classification accuracy was achieved (3 classes).
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GCNN for EEG Emotion Recognition
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Panos13L/Graph-Convolutional-Neural-Network-EEG
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