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Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional magnetic resonance image (fMRI) data. Despite recent progresses, a common limitation is its difficulty...
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| Опубликовано в: : | Front Neurosci |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7344313/ https://ncbi.nlm.nih.gov/pubmed/32714130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00630 |
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