Class-Driven Graph Attention Network for Multi-Label Time Series Classification in Mobile Health Digital Twins

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Sun, Le ORCID: 0000-0002-4221-0327, Li, Chenyang, Liu, Bo ORCID: 0000-0002-5279-5322 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2023) Class-Driven Graph Attention Network for Multi-Label Time Series Classification in Mobile Health Digital Twins. IEEE Journal on Selected Areas in Communications, 41 (10). pp. 3267-3278. ISSN 0733-8716

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/48056
DOI 10.1109/JSAC.2023.3310064
Official URL https://ieeexplore.ieee.org/document/10234411
Subjects Current > FOR (2020) Classification > 4606 Distributed computing and systems software
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords Digital Twins for Mobile Networks; mHealth; multi-class classification; feature extraction; C-DGAM
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