• DocumentCode
    594915
  • Title

    Topological features and iterative node elimination for speeding up subgraph isomorphism detection

  • Author

    Dahm, N. ; Bunke, Horst ; Caelli, Terry ; Yongsheng Gao

  • Author_Institution
    Queensland Res. Lab., Nat. ICT Australia, Canberra, QLD, Australia
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    1164
  • Lastpage
    1167
  • Abstract
    In this paper we tackle the problem of subgraph isomorphism detection on large graphs, which may commonly be intractable, even with state of the art algorithms. Rather than competing with other matching algorithms, we define enhancements that can be used by (almost) any subgraph isomorphism algorithm, both current and future. These enhancements consist of a number of topological features to be added to the nodes, and a technique which we term “iterative node elimination”. The fusion of these enhancements is shown to be able to reduce subgraph isomorphism matching times by a factor of over 4,500.
  • Keywords
    data structures; graph theory; pattern matching; iterative node elimination; large graphs; state of the art algorithms; subgraph isomorphism detection problem; subgraph isomorphism matching time reduction; topological features; Australia; Computational complexity; Databases; Educational institutions; Feature extraction; Pattern recognition; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460344