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20202026
most citedA Network Science perspective of Graph Convolutional Networks: A survey

19 citations · 21 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SI2025

Applicability of the Minimal Dominating Set for Influence Maximization in Multilayer Networks

Michał Czuba, Mingshan Jia, Piotr Bródka +1

The minimal dominating set (MDS) is a well-established concept in network controllability and has been successfully applied in various domains, including sensor placement, network…

cs.SI2024★ 2 cited

Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks

Michał Czuba, Mateusz Nurek, Damian Serwata +5

With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of…

cs.SI2023

Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia

Mingshan Jia, Pasquale De Meo, Bogdan Gabrys +1

Network disruption is pivotal in understanding the robustness and vulnerability of complex networks, which is instrumental in devising strategies for infrastructure protection, epi…

cs.SI2023★ 19 cited

A Network Science perspective of Graph Convolutional Networks: A survey

Mingshan Jia, Bogdan Gabrys, Katarzyna Musial

The mining and exploitation of graph structural information have been the focal points in the study of complex networks. Traditional structural measures in Network Science focus on…

cs.SI2020

Measuring Quadrangle Formation in Complex Networks

Mingshan Jia, Bogdan Gabrys, Katarzyna Musial

The classic clustering coefficient and the lately proposed closure coefficient quantify the formation of triangles from two different perspectives, with the focal node at the centr…