Understanding the Complexity of Induced Subgraph Isomorphisms
- Yijia ChenAffiliated withBASICS, Department of Computer Science, Shanghai Jiaotong University
- , Marc ThurleyAffiliated withInstitut für Informatik, Humboldt-Universität zu Berlin
- , Mark WeyerAffiliated withInstitut für Informatik, Humboldt-Universität zu Berlin
We study left-hand side restrictions of the induced subgraph isomorphism problem: Fixing a class , for given graphs G and arbitrary H we ask for induced subgraphs of H isomorphic to G.
For the homomorphism problem this kind of restriction has been studied by Grohe and Dalmau, Kolaitis and Vardi for the decision problem and by Dalmau and Jonsson for its counting variant.
We give a dichotomy result for both variants of the induced subgraph isomorphism problem. Under some assumption from parameterized complexity theory, these problems are solvable in polynomial time if and only if contains no arbitrarily large graphs.
All classifications are given by means of parameterized complexity. The results are presented for arbitrary structures of bounded arity which implies, for example, analogous results for directed graphs.
Furthermore, we show that no such dichotomy is possible in the sense of classical complexity. That is, if there are classes such that the induced subgraph isomorphism problem on is neither in nor -complete. This argument may be of independent interest, because it is applicable to various parameterized problems.
- Understanding the Complexity of Induced Subgraph Isomorphisms
- Book Title
- Automata, Languages and Programming
- Book Subtitle
- 35th International Colloquium, ICALP 2008, Reykjavik, Iceland, July 7-11, 2008, Proceedings, Part I
- pp 587-596
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
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- Editor Affiliations
- 1. School of Computer Science, Reykjavik University
- 2. Department of Computer Science, IT-Parken, University of Aarhus
- 3. Department of Computer Science, University of Liverpool
- 4. School of Computer Science, Reykjavik University
- 5. Department of Computer Science, Reykjavik University
- 6. Université de Bordeaux-1, LaBRI
- Author Affiliations
- 7. BASICS, Department of Computer Science, Shanghai Jiaotong University, 200030, Shanghai, China
- 8. Institut für Informatik, Humboldt-Universität zu Berlin, 10099, Berlin, Germany
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