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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-09-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-023-05495-7 |