BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

BrainGB is a unified, modular, scalable, and reproducible framework established for brain network analysis with GNNs. It is designed to enable fair evaluation with accessible datasets, standard settings, and baselines to foster a collaborative environment within computational neuroscience and other related communities. This library is built upon Pytorch and PyTorch Geometric.

Visit our BrainGB GitHub repository at https://github.com/HennyJie/BrainGB.

Contribution

We welcome any form of contribution from the community. Please feel free to email us.

Citation

Please cite our paper if you find our platform useful for your work:

@article{cui2022braingb,
author = {Cui, Hejie and Dai, Wei and Zhu, Yanqiao and Kan, Xuan and Chen Gu, Antonio Aodong and Lukemire, Joshua and Zhan, Liang and He, Lifang and Guo, Ying and Yang, Carl},
title = {{BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks}},
journal={IEEE Transactions on Medical Imaging (TMI)},
year = {2022}
}