9 citations · 9 across the 2 of their papers we have counts for
5 papers
Exploring the impact of adaptive rewiring in Graph Neural Networks
Charlotte Cambier van Nooten, Christos Aronis, Yuliya Shapovalova +1
This paper explores sparsification methods as a form of regularization in Graph Neural Networks (GNNs) to address high memory usage and computational costs in large-scale graph app…
Graph and Network Theory for the analysis of Criminal Networks
Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo +2
Social Network Analysis is the use of Network and Graph Theory to study social phenomena, which was found to be highly relevant in areas like Criminology. This chapter provides an…
Criminal Networks Analysis in Missing Data scenarios through Graph Distances
Annamaria Ficara, Lucia Cavallaro, Francesco Curreri +5
Data collected in criminal investigations may suffer from: (i) incompleteness, due to the covert nature of criminal organisations; (ii) incorrectness, caused by either unintentiona…
Network connectivity under a probabilistic node failure model
Lucia Cavallaro, Stefania Costantini, Pasquale De Meo +2
Centrality metrics have been widely applied to identify the nodes in a graph whose removal is effective in decomposing the graph into smaller sub-components. The node--removal proc…
Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia
Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo +4
Compared to other types of social networks, criminal networks present hard challenges, due to their strong resilience to disruption, which poses severe hurdles to law-enforcement a…