Article
A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder.
BMC bioinformatics - 27 Sept 2023
Shao Lizhen, Fu Cong, Chen Xunying
Abstract excerpt
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 generalize deep neural network models to graph structured data, have shown great advantages. However, in graph neural methods,...
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