Tag: sir

Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks arXiv:2501.02043v1 Announce Type: new Abstract: Graph convolutional neural networks (GCNs) have shown tremendous promise in addressing data-intensive challenges in recent years. In particular, some attempts have been made to improve predictions of Susceptible-Infected-Recovered (SIR) models by incorporating human mobility…