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A novel efficient algorithm for determining maximum common subgraphs

  • Yu Wang
  • , Carsten Maple

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    18 Citations (Scopus)

    Abstract

    Graph representations are widely used for dealing with structural information. There are applications, for example, in pattern recognition, machine learning and information retrieval, where one needs to measure the similarity of objects. When graphs are used for the representation of structured objects, then measuring the similarity of objects becomes equivalent to determining the similarity of graphs. The measurement of similarity is normally performed by determining the maximum common subgraph of the graphs in question. This paper presents a new algorithm for determining the maximum common subgraph of a pair of graphs which offers better performance than existing algorithms.

    Original languageEnglish
    Title of host publicationProceedings - Ninth International Conference on Information Visualisation, iV05
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages657-663
    Number of pages7
    ISBN (Print)0769523978, 9780769523972
    DOIs
    Publication statusPublished - 19 Sept 2005
    Event9th International Conference on Information Visualisation, iV05 - London, United Kingdom
    Duration: 6 Jul 20058 Jul 2005

    Publication series

    NameProceedings of the International Conference on Information Visualisation
    Volume2005
    ISSN (Print)1093-9547

    Conference

    Conference9th International Conference on Information Visualisation, iV05
    Country/TerritoryUnited Kingdom
    CityLondon
    Period6/07/058/07/05

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Computer Vision and Pattern Recognition

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