2 papers
cs.LG2026
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…
cs.SI2025
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…