Abstract: Learning the graph topology of a complex network is challenging due to limited data availability and imprecise data models. A common remedy in existing works is to incorporate priors such as ...
Cardiac rehabilitation (CR) has evolved from foundations as a postmyocardial infarction mobilization strategy for patients who were typically unstable, into a comprehensive, multidisciplinary program ...
Abstract: This paper proposes an innovative optimization framework, Dynamic Graph Neural Evolution (DGNE), integrating Graph Neural Networks (GNNs) with Evolutionary Algorithms (EAs). Building on the ...
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