Abstract
Due to its wide applications, subgraph matching problem has been studied extensively in the past decade. In this paper, we consider the subgraph match query in a more general scenario. We build a structural index that does not depend on any vertex content. Our method can be applied in graphs with any kind of vertex/edge content. Based on the index, we design a holistic subgraph matching algorithm. This paper is the first effort of the holistic pattern matching approach in the subgraph query problem. It can dramatically reduce the search space. Extensive experiments on real graphs show that our method outperforms state-of-the-art algorithms.
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© 2014 Springer International Publishing Switzerland
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Peng, P., Zou, L., Wang, D., Zhao, D. (2014). Holistic Subgraph Search over Large Graphs. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_23
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DOI: https://doi.org/10.1007/978-3-319-08010-9_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08009-3
Online ISBN: 978-3-319-08010-9
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