241 citations · 426 across the 8 of their papers we have counts for
4 papers · 1 filter
An Analysis of Centrality Measures for Complex and Social Networks
Felipe Grando, Diego Noble, Luis C. Lamb
Measures of complex network analysis, such as vertex centrality, have the potential to unveil existing network patterns and behaviors. They contribute to the understanding of netwo…
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model
Felipe Grando, Luis C. Lamb
Vertex centrality measures are a multi-purpose analysis tool, commonly used in many application environments to retrieve information and unveil knowledge from the graphs and networ…
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates +1
The application of deep learning to symbolic domains remains an active research endeavour. Graph neural networks (GNN), consisting of trained neural modules which can be arranged i…
Genetic Algorithm for Epidemic Mitigation by Removing Relationships
Fernando Concatto, Wellington Zunino, Luigi A. Giancoli +2
Min-SEIS-Cluster is an optimization problem which aims at minimizing the infection spreading in networks. In this problem, nodes can be susceptible to an infection, exposed to an i…