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Efficient algorithms for pattern matching on directed acyclic graphs

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3 Author(s)
Li Chen ; San Diego Supercomput. Center, La Jolla, CA, USA ; Gupta, A. ; Kurul, M.E.

Recently graph data models have become increasingly popular in many scientific fields. Efficient query processing over such data is critical. Existing works often rely on index structures that store pre-computed transitive relations to achieve efficient graph matching. In this paper, we present a family of stack-based algorithms to handle path and twig pattern queries for directed acyclic graphs (DAGs) in particular. With the worst-case space cost linearly bounded by the number of edges in the graph, our algorithms achieve a quadratic runtime complexity in the average size of the query variable bindings. This is optimal among the navigation-based graph matching algorithms.

Published in:

Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on

Date of Conference:

5-8 April 2005