The Graph Isomorphism (GI) Class is the class of all the problems equivalent to the Graph Isomorphism problem, that is not known to be solvable in polynomial time nor to be NP-complete. GI thus is a very interesting complexity class that may be in NP-intermediate. In this work we focus on the CNF Syntactic Formula Isomorphism (CSFI) problem, that has been proved to be GI-complete, and we present a formal approach to the definition of “trivial non-isomorphic” instances and an algorithm to generate “non-trivial” instances. The applications of such generator are twofold: on the one side we can use it to compare deterministic algorithms, and on the other side, following recent approaches for NP-complete problems such as SAT and TSP, we can also use the generated instances to train neural networks.

Non-isomorphic CNF Generation / Fantozzi, P.; Laura, L.; Nanni, U.; Villa, A.. - 327:(2022), pp. 98-107. ( 18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021 Salamanca; Spain ) [10.1007/978-3-030-86261-9_10].

Non-isomorphic CNF Generation

Fantozzi P.
;
Laura L.;Nanni U.;
2022

Abstract

The Graph Isomorphism (GI) Class is the class of all the problems equivalent to the Graph Isomorphism problem, that is not known to be solvable in polynomial time nor to be NP-complete. GI thus is a very interesting complexity class that may be in NP-intermediate. In this work we focus on the CNF Syntactic Formula Isomorphism (CSFI) problem, that has been proved to be GI-complete, and we present a formal approach to the definition of “trivial non-isomorphic” instances and an algorithm to generate “non-trivial” instances. The applications of such generator are twofold: on the one side we can use it to compare deterministic algorithms, and on the other side, following recent approaches for NP-complete problems such as SAT and TSP, we can also use the generated instances to train neural networks.
2022
18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021
CNF Syntactic Formula Isomorphism; Graph Isomorphism; NP complete problems
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Non-isomorphic CNF Generation / Fantozzi, P.; Laura, L.; Nanni, U.; Villa, A.. - 327:(2022), pp. 98-107. ( 18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021 Salamanca; Spain ) [10.1007/978-3-030-86261-9_10].
File allegati a questo prodotto
File Dimensione Formato  
Fantozzi_postprint_Non-isomorphic_2022.pdf

accesso aperto

Note: https://doi.org/10.1007/978-3-030-86261-9_10
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 287.82 kB
Formato Adobe PDF
287.82 kB Adobe PDF
Fantozzi_Non-isomorphic_2022.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.88 MB
Formato Adobe PDF
4.88 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1608775
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact