A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder

Abstract Background Autism spectrum disorder (ASD) is a serious developmental disorder of the brain. Recently, various deep learning methods based on functional magnetic resonance imaging (fMRI) data have been developed for the classification of ASD. Among them, graph neural networks, which generali...

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Bibliographic Details
Main Authors: Lizhen Shao, Cong Fu, Xunying Chen
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-023-05495-7