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International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences

MCO 2008: Modelling, Computation and Optimization in Information Systems and Management Sciences pp 358–368Cite as

Finding Maximum Common Connected Subgraphs Using Clique Detection or Constraint Satisfaction Algorithms

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 14))

Abstract

This paper investigates the problem of Maximum Common Connected Subgraph (MCCS) which is not necessarily an induced subgraph. This problem has so far been neglected by the literature which is mainly devoted to the MCIS problem. Two reductions of the MCCS problem to a MCCIS problem are explored: a classic method based on linegraphs and an original approach using subdivision graphs. Then we propose a method to solve MCCS that searchs for a maximum clique in a compatibility graph. To compare with backtrack approach we explore the applicability of Constraint Satisfaction framework to the MCCS problem for both reductions.

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Author information

Authors and Affiliations

  1. LIRMM, 161 rue Ada, 34392, Montpellier Cedex 5, France

    Philippe Vismara & Benoît Valery

  2. LASB - Montpellier SupAgro, 2 place Pierre Viala, 34060, Montpellier Cedex 1, France

    Philippe Vismara

Authors
  1. Philippe Vismara
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  2. Benoît Valery
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Editor information

Editors and Affiliations

  1. Laboratory of Theoretical and Applied Computer Science, UFR MIM,, Paul Verlaine University of Metz, Metz, France

    Hoai An Le Thi

  2. Faculty of Sciences, Technology and Communications, University of Luxembourg, Luxembourg

    Pascal Bouvry

  3. Laboratory of Mathematics, National Institute for Applied Sciences, Rouen Mont, Saint Aignan, France

    Tao Pham Dinh

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© 2008 Springer-Verlag Berlin Heidelberg

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Vismara, P., Valery, B. (2008). Finding Maximum Common Connected Subgraphs Using Clique Detection or Constraint Satisfaction Algorithms. In: Le Thi, H.A., Bouvry, P., Pham Dinh, T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. MCO 2008. Communications in Computer and Information Science, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87477-5_39

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  • DOI: https://doi.org/10.1007/978-3-540-87477-5_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87476-8

  • Online ISBN: 978-3-540-87477-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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