Alzheimer's disease classification based on brain region-to-sample graph convolutional network

Zhi Yang, Wenya Liu, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi

Abstract: Highlights•RSGCN, consisting of RegionGCN and SampleGCN, enhances the AD classification.•RegionGCN adapts node weights for accurate sample feature extraction.•SampleGCN enhances disease prediction accuracy by integrating multiscale features.