1 citations · 1 across the 4 of their papers we have counts for
4 papers
Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations
Rodrigo S. Luna, Thiago H. N. Coelho, Luiz S. L. Neto +8
This chapter discusses how a data-driven machine learning approach can reproduce key aspects of the physical behavior of multiphase flows in complex geological formations. We propo…
Clustering Node Attributed Networks with Graph Neural Networks and Self Learning
Rodrigo de Sapienza Luna, Daniel Ratton Figueiredo
Graph clustering - partitioning the node set of a graph into disjoint subsets that reflect some latent information - is a fundamental problem as it finds applications in a myriad o…
A multiresolution weather dataset for the Southwestern South Atlantic (2017-2018)
Luan C. V. Silva, Lívia Sancho, Mauricio S. Silva +19
The Southwestern South Atlantic (SWSA) is a key region for climate research and renewable energy assessment, yet high-resolution meteorological data are scarce. We present a multir…
Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
Conrado Catarcione Pinto, Amanda Camacho Novaes de Oliveira, Rodrigo Sapienza Luna +1
Infected individuals in some epidemics can remain asymptomatic while still carrying and transmitting the infection. These individuals contribute to the spread of the epidemic and p…