This is code implementation for Bargrain (Balanced graph structure for brains)
- torch==1.13.1+cu116
- nilearn==0.10.0
- pandas==1.3.5
- numpy==1.23.4
- omegaconf==2.3.0
- scikit-learn==1.1.2
The details to download the datasets are available in the ./data/ folder. Once the datasets are downloaded, preprocess all datasets using the command:
python preprocess_data.py acpi cobre abide
python main.py --dataset <dataset>
@inproceedings{febrinanto2023balanced,
title={Balanced Graph Structure Information for Brain Disease Detection},
author={Febrinanto, Falih Gozi and Liu, Mujie and Xia, Feng},
booktitle={Pacific Rim Knowledge Acquisition Workshop},
pages={134--143},
year={2023},
organization={Springer}
}