ADMGCN: Graph Convolutional Network for Alzheimer’s Disease Diagnosis with a Meta-learning Paradigm
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by memory loss and cognitive decline. While graph convolutional networks (GCNs) have emerged as popular tools for AD diagnosis due to their ability to handle structural information and fuse multi-modal features, deep learnin...
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| Published in: | Bioinformatics (Oxford, England) |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
28.10.2025
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| ISSN: | 1367-4811, 1367-4811 |
| Online Access: | Get full text |
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