Graph-based learning for sleep microarchitecture: a hybrid graph autoencoder and graph attention network approach
Background: Sleep plays a vital role in cognitive function, memory consolidation, and overall neurological health. Analysis of sleep microarchitecture including features such as sleep spindles, K-complexes, slow waves, and EEG bandpower components provides critical insights into sleep disorders and...
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| Published in: | International journal of research in medical sciences Vol. 13; no. 11; pp. 4696 - 4702 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
30.10.2025
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| ISSN: | 2320-6071, 2320-6012 |
| Online Access: | Get full text |
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