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GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification
BACKGROUND: Autism spectrum disorders (ASD) imply a spectrum of symptoms rather than a single phenotype. ASD could affect brain connectivity at different degree based on the severity of the symptom. Given their excellent learning capability, graph neural networks (GNN) methods have recently been use...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8296748/ https://ncbi.nlm.nih.gov/pubmed/34294047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04295-1 |
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