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PubMed · 15641723

A (sub)graph isomorphism algorithm for matching large graphs.

Luigi P Cordella·Pasquale Foggia·Carlo Sansone·Mario Vento
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Abstract

We present an algorithm for graph isomorphism and subgraph isomorphism suited for dealing with large graphs. A first version of the algorithm has been presented in a previous paper, where we examined its performance for the isomorphism of small and medium size graphs. The algorithm is improved here to reduce its spatial complexity and to achieve a better performance on large graphs; its features are analyzed in detail with special reference to time and memory requirements. The results of a testing performed on a publicly available database of synthetically generated graphs and on graphs relative to a real application dealing with technical drawings are presented, confirming the effectiveness of the approach, especially when working with large graphs.

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AlgorithmsArtificial IntelligenceCluster AnalysisComputer GraphicsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalNumerical Analysis, Computer-AssistedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedSubtraction TechniqueComparative StudyEvaluation StudyJournal ArticleValidation Study

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Luigi P Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento. 2004. A (sub)graph isomorphism algorithm for matching large graphs.. https://doi.org/10.1109/tpami.2004.75

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