Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Grassia Marco"'
Networks are a powerful tool to model complex systems, and the definition of many Graph Neural Networks (GNN), Deep Learning algorithms that can handle networks, has opened a new way to approach many real-world problems that would be hardly or even u
Externí odkaz:
http://arxiv.org/abs/2109.10119
Autor:
Grassia, Marco, Mangioni, Giuseppe
Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide range of domains. In this paper we propose wsGAT, an extension of the Graph Attention Network (GAT) layers, meant to
Externí odkaz:
http://arxiv.org/abs/2109.11519
Publikováno v:
Nat Commun 12, 5190 (2021)
From physics to engineering, biology and social science, natural and artificial systems are characterized by interconnected topologies whose features - e.g., heterogeneous connectivity, mesoscale organization, hierarchy - affect their robustness to e
Externí odkaz:
http://arxiv.org/abs/2101.02453
Publikováno v:
Journal of Complex Networks, Volume 10, Issue 1, February 2022
In the first half of 2020, several countries have responded to the challenges posed by the Covid-19 pandemic by restricting their export of medical supplies. Such measures are meant to increase the domestic availability of critical goods, and are com
Externí odkaz:
http://arxiv.org/abs/2007.11941
Combinatorial optimization problems arise in a wide range of applications from diverse domains. Many of these problems are NP-hard and designing efficient heuristics for them requires considerable time and experimentation. On the other hand, the numb
Externí odkaz:
http://arxiv.org/abs/2001.01230
We propose a multi-stage learning approach for pruning the search space of maximum clique enumeration, a fundamental computationally difficult problem arising in various network analysis tasks. In each stage, our approach learns the characteristics o
Externí odkaz:
http://arxiv.org/abs/1910.00517
Autor:
Carchiolo, Vincenza1 (AUTHOR), Grassia, Marco1 (AUTHOR), Malgeri, Michele1 (AUTHOR), Mangioni, Giuseppe1 (AUTHOR) giuseppe.mangioni@unict.it
Publikováno v:
PLoS ONE. 1/16/2024, Vol. 19 Issue 1, p1-12. 12p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Carchiolo, Vincenza1 (AUTHOR) marco.grassia@unict.it, Grassia, Marco1 (AUTHOR), Malgeri, Michele1 (AUTHOR), Mangioni, Giuseppe1 (AUTHOR)
Publikováno v:
Future Internet. Jun2022, Vol. 14 Issue 6, p187-187. 15p.
Autor:
Grassia, Marco1 (AUTHOR), Mangioni, Giuseppe1 (AUTHOR) giuseppe.mangioni@unict.it, Schiavo, Stefano2,3,4 (AUTHOR), Traverso, Silvio5 (AUTHOR)
Publikováno v:
Scientific Reports. 3/18/2022, Vol. 12 Issue 1, p1-16. 16p.