brainvgae

The implementation is based on BrainGNN repo.

Download ABIDE and construct graph:

python 01-fetch_data.py
python 02-process_data.py

Run classification

python train_gae.py

Citation

If you find this repository useful in your research, please consider citing our paper:

@inproceedings{mai2022brainvgae,
  title={BrainVGAE: end-to-end graph neural networks for noisy fMRI dataset},
  author={Mai, Quan and Nakarmi, Ukash and Huang, Miaoqing},
  booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={3852--3855},
  year={2022},
  organization={IEEE}
}

Also please consider citing BrainGNN.

Contact

Please leave Github issues or contact Quan Mai quanmai@uark.edu for any questions.