3 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies
Reet Barik, Marco Minutoli, Mahantesh Halappanavar +1
Owing to the ongoing COVID-19 pandemic and other recent global epidemics, epidemic simulation frameworks are gaining rapid significance. In this work, we present a workflow that wi…
Learning to Simulate Aerosol Dynamics with Graph Neural Networks
Fabiana Ferracina, Payton Beeler, Mahantesh Halappanavar +3
Aerosol effects on climate, weather, and air quality depend on characteristics of individual particles, which are tremendously diverse and change in time. Particle-resolved models…
GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover
Reet Barik, Wade Cappa, S M Ferdous +3
Influence maximization--the problem of identifying a subset of k influential seeds (vertices) in a network--is a classical problem in network science with numerous applications. Th…