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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Detalles Bibliográficos
Autores principales: Hu, Jinlong, Cao, Lijie, Li, Tenghui, Dong, Shoubin, Li, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296748/
https://www.ncbi.nlm.nih.gov/pubmed/34294047
http://dx.doi.org/10.1186/s12859-021-04295-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296748/
https://www.ncbi.nlm.nih.gov/pubmed/34294047
http://dx.doi.org/10.1186/s12859-021-04295-1

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