AE-HGNN: attention-enhanced hypergraph neural networks for interpretable stress prediction through higher-order dependency modeling

Stress is a significant contributor to the deterioration of mental and physical health, including conditions such as anxiety, depression, and cardiovascular issues. Traditional machine learning techniques like SVM, Decision Trees, and DNNs have been used for stress prediction using physiological and...

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Główni autorzy:	Bindu Garg, Manisha Kasar, Renuka Mane, Massimo Donelli, Achin Jain, Arun Kumar Dubey
Format:	Artigo
Język:	Inglês
Wydane:	Frontiers Media S.A. 2026-07-01
Seria:	Frontiers in Artificial Intelligence
Hasła przedmiotowe:	attention mechanism higher-order dependencies hypergraph neural networks non-invasive monitoring stress prediction
Dostęp online:	https://www.frontiersin.org/articles/10.3389/frai.2026.1844784/full
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