Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction

H Jiang, P Cao, MY Xu, J Yang, O Zaiane - Computers in Biology and …, 2020 - Elsevier
Purpose Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …
被引用次数：156 相关文章
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[PDF][PDF] Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction

H Jiang, P Cao, MY Xu, J Yang… - Computers in Biology …, 2020 - adni.loni.usc.edu
Purpose: Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …

Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction

H Jiang, P Cao, MY Xu, J Yang… - Computers in biology …, 2020 - pubmed.ncbi.nlm.nih.gov
Purpose Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …

Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction.

H Jiang, P Cao, M Xu, J Yang… - Computers in Biology and …, 2020 - europepmc.org
Purpose Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …

Hi-GCN:: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction

H Jiang, P Cao, MY Xu, J Yang, O Zaiane - 2020 - dl.acm.org
Purpose Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …