<div class="csl-bib-body">
<div class="csl-entry">Zhang, T., & Szeider, S. (2023). Searching for Smallest Universal Graphs and Tournaments with SAT. In R. Yap (Ed.), <i>29th International Conference on Principles and Practice of Constraint Programming</i>. https://doi.org/10.4230/LIPIcs.CP.2023.39</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191192
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dc.description.abstract
A graph is induced k-universal if it contains all graphs of order k as an induced subgraph. For over half a century, the question of determining smallest k-universal graphs has been studied. A related question asks for a smallest k-universal tournament containing all tournaments of order k. This paper proposes and compares SAT-based methods for answering these questions exactly for small values of k. Our methods scale to values for which a generate-and-test approach isn't feasible; for instance, we show that an induced 7-universal graph has more than 16 vertices, whereas the number of all connected graphs on 16 vertices, modulo isomorphism, is a number with 23 decimal digits Our methods include static and dynamic symmetry breaking and lazy encodings, employing external subgraph isomorphism testing.
en
dc.description.sponsorship
European Commission
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dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Constrained-based combinatorics
en
dc.subject
directed graphs
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dc.subject
SAT solving
en
dc.subject
subgraph isomorphism
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dc.subject
symmetry breaking
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dc.subject
synthesis problems
en
dc.subject
tournament
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dc.title
Searching for Smallest Universal Graphs and Tournaments with SAT
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.contributor.editoraffiliation
National University of Singapore, Singapore
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dc.relation.isbn
9783959773003
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dc.relation.grantno
101034440
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dc.relation.grantno
ICT19-065
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
29th International Conference on Principles and Practice of Constraint Programming
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tuw.container.volume
280
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tuw.project.title
Logics for Computer Science Program at TU Wien
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tuw.project.title
Revealing and Utilizing the Hidden Structure for Solving Hard Problems in AI
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-01 - Forschungsbereich Algorithms and Complexity
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tuw.publisher.doi
10.4230/LIPIcs.CP.2023.39
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dc.identifier.libraryid
AC17204910
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dc.description.numberOfPages
20
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tuw.author.orcid
0000-0001-8994-1656
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0002-1188-7474
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tuw.event.name
29th International Conference on Principles and Practice of Constraint Programming (CP 2023)
en
tuw.event.startdate
27-08-2023
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tuw.event.enddate
31-08-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.country
CA
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tuw.event.presenter
Szeider, Stefan
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.openaccessfulltext
Open Access
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item.fulltext
with Fulltext
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item.grantfulltext
open
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item.openairetype
conference paper
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item.cerifentitytype
Publications
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crisitem.project.funder
European Commission
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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crisitem.project.grantno
101034440
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crisitem.project.grantno
ICT19-065
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crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
-
crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity