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[HTML][HTML] GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - BMC bioinformatics, 2021 - Springer
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 …
被引用次数：24 相关文章

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - BMC Bioinformatics, 2021 - search.proquest.com
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 …

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.

J Hu, L Cao, T Li, S Dong, P Li - BMC Bioinformatics, 2021 - search.ebscohost.com
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 …

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.

J Hu, L Cao, T Li, S Dong, P Li - BMC Bioinformatics, 2021 - go.gale.com
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 …

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - BMC Bioinformatics, 2021 - research.polyu.edu.hk
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 …

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - 2021 - agris.fao.org
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 …

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.

J Hu, L Cao, T Li, S Dong, P Li - BMC Bioinformatics, 2021 - europepmc.org
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 …

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - BMC bioinformatics, 2021 - pubmed.ncbi.nlm.nih.gov
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 …
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[HTML][HTML] GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - BMC …, 2021 - bmcbioinformatics.biomedcentral …
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 …
[HTML] nih.gov

[HTML][HTML] GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

J Hu, L Cao, T Li, S Dong, P Li - BMC Bioinformatics, 2021 - ncbi.nlm.nih.gov
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 …