NDLI: A Study of Laplacian Spectra of Graph for Subgraph Queries

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhu Qinbao Song
Copyright Year	2011
Abstract	The spectrum of graph has been widely used in graph mining to extract graph topological information. It has also been employed as a characteristic of graph to check the sub graph isomorphism testing since it is an invariant of a graph. However, the spectrum cannot be directly applied to a graph and its sub graph, which is a bottleneck for sub graph isomorphism testing. In this paper, we study the Laplacian spectra between a graph and its sub graph, and propose a method by straightforward adoption of them for sub graph queries. In our proposed method, we first encode every vertex and graph by extracting their Laplacian spectra, and generate a novel two-step filtering conditions. Then, we follow the filtering-and verification framework to conduct sub graph queries. Extensive experiments show that, compared with existing counterpart method, as a graph feature, Laplacian spectra can be used to efficiently improves the efficiency of sub graph queries and thus indicate that it have considerable potential.
Starting Page	1272
Ending Page	1277
File Size	228261
Page Count	6
File Format	PDF
ISBN	9781457720758
ISSN	15504786
DOI	10.1109/ICDM.2011.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laplace equations Feature extraction Eigenvalues and eigenfunctions Indexes Filtering Data mining Laplacian spectra of graph graph mining subgraph queries
Content Type	Text
Resource Type	Article

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