Examining COVID-19 Forecasting Using Spatio-Temporal Graph Neural Networks

arXiv:2007.03113, 2020
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Bibliographic Information

TitleExamining COVID-19 Forecasting Using Spatio-Temporal Graph Neural Networks
AuthorsAmol Kapoor et al.
VenuearXiv:2007.03113
Year2020
Linkhttps://arxiv.org/abs/2007.03113

Summary

Uses spatio-temporal GNNs for COVID-19 forecasting. Contact networks for disease transmission are directed and disconnected — properties that STRATA uniquely supports among fast APSP methods.