This project forked from elgazzarr/dast-gcn
Official Pytorch Implementation of the paper Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
License: MIT License
This is the original pytorch implementation of DAST-GCN in the paper [Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling] (https://arxiv.org/abs/2109.12517)
requirements.txtSee dataframe samples at csvfiles
Infered graph after training for both tasks on ukbb. 'The graph was restricted to static configuration ('1 adaptive grah structure for all blocks') for more robust visulizations'
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