Canonical forms for frequent graph mining

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Abstract

A core problem of approaches to frequent graph mining, which are based on growing subgraphs into a set of graphs, is how to avoid redundant search. A powerful technique for this is a canonical description of a graph, which uniquely identifies it, and a corresponding test. I introduce a family of canonical forms based on systematic ways to construct spanning trees. I show that the canonical form used in gSpan (Yan and Han (2002)) is a member of this family, and that MoSS/MoFa (Borgelt and Berthold (2002), Borgelt et al. (2005)) is implicitly based on a different member, which I make explicit and exploit in the same way.

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Borgelt, C. (2007). Canonical forms for frequent graph mining. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 337–349). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-70981-7_38

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