Graph Convolutional Networks for 4-class EEG Classification

Shuyue's work was awsome but preprocessing should be done in MATLAb, which is not available for everyone. So I interperted python version! I also added other types of GCNs to code + changed some parts of code

1. Download - PhysioNet 4-class EEG and place it in 01loadData folder ( or easily run downloaddata.py
2. Run edfread.py . This code will end up in 64 electrode data + 64 Label data
3. It's time to copy the results of previous step into 02Preprocess . I placed both MATLAB and PYTHON , But my main intention is having PURE PYTHON environment So go into WithPython and create a folder called data and place 128 .mat files there. Then run the Code It results is available in folder pythondata as .csv files
4. create files folder where the onEEGcode.py is. Then copy CSV files there. Run the onEEGcode.py and ENJOY!

1. Tensorflow 1.13
2. Numpy
3. Scipy
4. Pandas
5. Pyedflib

1. Absolute Pearso matrix