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

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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

Resources

Dataset:

  • The Human Connectome Project: paper, web

Processing:

Atlas:

Visualization:

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

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