Graph-Convolutional-Neural-Network-EEG

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).

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Graph Convolutional Neural Network.ipynb		Graph Convolutional Neural Network.ipynb
Graph_Network.png		Graph_Network.png
LICENSE		LICENSE
Network_Architecture.png		Network_Architecture.png
README.md		README.md

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