COUNTING SMALL INDUCED SUBGRAPHS WITH HEREDITARY PROPERTIES.

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Title: COUNTING SMALL INDUCED SUBGRAPHS WITH HEREDITARY PROPERTIES.
Authors: FOCKE, JACOB1 jacob.focke@cispa.de, ROTH, MARC2,3 m.roth@qmul.ac.uk
Source: SIAM Journal on Computing. 2024, Vol. 53 Issue 2, p189-220. 32p.
Subjects: Polynomial time algorithms, Computational complexity, Homomorphisms, Subgraphs
Abstract: We study the computational complexity of the problem #IndSub(Φ) of counting k-vertex induced subgraphs of a graph G that satisfy a graph property Φ. Our main result establishes an exhaustive and explicit classification for all hereditary properties, including tight conditional lower bounds under the Exponential Time Hypothesis (ETH): - If a hereditary property Φ is true for all graphs, or if it is true only for finitely many graphs, then #IndSub(Φ) is solvable in polynomial time. - Otherwise, #IndSub(Φ) is #W[1]-complete when parameterised by k, and, assuming ETH, it cannot be solved in time f(k)µ/G/o(k) for any function f. This classification features a wide range of properties for which the corresponding detection problem (as classified by Khot and Raman [TCS 02]) is tractable but counting is hard. Moreover, even for properties which are already intractable in their decision version, our results yield significantly stronger lower bounds for the counting problem. As additional result, we also present an exhaustive and explicit parameterised complexity classification for all properties that are invariant under homomorphic equivalence. By covering one of the most natural and general notions of closure, namely, closure under vertex-deletion (hereditary), we generalise some of the earlier results on this problem. For instance, our results fully subsume and strengthen the existing classification of #IndSub(Φ) for monotone (subgraph-closed) properties due to Roth, Schmitt, and Wellnitz [FOCS 20]. [ABSTRACT FROM AUTHOR]
Copyright of SIAM Journal on Computing is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: COUNTING SMALL INDUCED SUBGRAPHS WITH HEREDITARY PROPERTIES.
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  Data: <searchLink fieldCode="JN" term="%22SIAM+Journal+on+Computing%22">SIAM Journal on Computing</searchLink>. 2024, Vol. 53 Issue 2, p189-220. 32p.
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  Data: <searchLink fieldCode="DE" term="%22Polynomial+time+algorithms%22">Polynomial time algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Homomorphisms%22">Homomorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22Subgraphs%22">Subgraphs</searchLink>
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  Data: We study the computational complexity of the problem #IndSub(Φ) of counting k-vertex induced subgraphs of a graph G that satisfy a graph property Φ. Our main result establishes an exhaustive and explicit classification for all hereditary properties, including tight conditional lower bounds under the Exponential Time Hypothesis (ETH): - If a hereditary property Φ is true for all graphs, or if it is true only for finitely many graphs, then #IndSub(Φ) is solvable in polynomial time. - Otherwise, #IndSub(Φ) is #W[1]-complete when parameterised by k, and, assuming ETH, it cannot be solved in time f(k)µ/G/o(k) for any function f. This classification features a wide range of properties for which the corresponding detection problem (as classified by Khot and Raman [TCS 02]) is tractable but counting is hard. Moreover, even for properties which are already intractable in their decision version, our results yield significantly stronger lower bounds for the counting problem. As additional result, we also present an exhaustive and explicit parameterised complexity classification for all properties that are invariant under homomorphic equivalence. By covering one of the most natural and general notions of closure, namely, closure under vertex-deletion (hereditary), we generalise some of the earlier results on this problem. For instance, our results fully subsume and strengthen the existing classification of #IndSub(Φ) for monotone (subgraph-closed) properties due to Roth, Schmitt, and Wellnitz [FOCS 20]. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of SIAM Journal on Computing is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1137/22M1512211
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 32
        StartPage: 189
    Subjects:
      – SubjectFull: Polynomial time algorithms
        Type: general
      – SubjectFull: Computational complexity
        Type: general
      – SubjectFull: Homomorphisms
        Type: general
      – SubjectFull: Subgraphs
        Type: general
    Titles:
      – TitleFull: COUNTING SMALL INDUCED SUBGRAPHS WITH HEREDITARY PROPERTIES.
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            – D: 01
              M: 03
              Text: 2024
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              Y: 2024
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