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PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
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evaluate		evaluate
models		models
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README.md		README.md
dataset.py		dataset.py
main.py		main.py
util.py		util.py

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Graph Neural Mapping

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PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis by Byung-Hoon Kim and Jong Chul Ye.

The model code is based on the official implementation of the

Graph Isomorphism Network: paper, github
Deep Graph Infomax: paper, github

Resources

Dataset:

The Human Connectome Project: paper, web

Processing:

FSL: paper, web
GRETNA: paper, web

Atlas:

Schaefer et al.: paper, github

Visualization:

MRIcroGL: github, web

Requirements

Python3 with following packages

pytorch >= 1.4.0
scikit-learn >= 0.21.3
nilearn >= 0.5.2
nibabel >= 2.5.0
tqdm

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PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

GPL-3.0 license

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