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Cited by 285

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Graph pattern matching: from intractable to polynomial time

Fan, Wenfei, Li, Jianzhong, Ma, Shuai, Tang, Nan, Wu, Yinghui, Wu, Yunpeng·2010·Proceedings of the VLDB Endowment

Abstract

Graph pattern matching is typically defined in terms of subgraph isomorphism, which makes it an np-complete problem. Moreover, it requires bijective functions, which are often too restrictive to characterize patterns in emerging applications. We propose a class of graph patterns, in which an edge denotes the connectivity in a data graph within a predefined number of hops. In addition, we define matching based on a notion of bounded simulation, an extension of graph simulation. We show that with this revision, graph pattern matching can be performed in cubic-time, by providing such an algorithm. We also develop algorithms for incrementally finding matches when data graphs are updated, with performance guarantees for dag patterns. We experimentally verify that these algorithms scale well, and that the revised notion of graph pattern matching allows us to identify communities commonly found in real-world networks.

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Metadata

Authors
Fan, W., Li, J., Ma, S., Tang, N., Wu, Y., & Wu, Y.
Venue
Proceedings of the VLDB Endowment
Published
2010-09
Volume
3
Issue
1-2
Pages
264-275
ISSN
2150-8097 (ISSN-L)
OpenAlex
W2123966888
Cited by
285
References
16
FWCI
19.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Graph pattern matching: from intractable to polynomial time. https://app.cochat.ai/papers/10.14778/1920841.1920878
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Fan, W., Li, J., Ma, S., Tang, N., Wu, Y., & Wu, Y. (2010). Graph pattern matching: from intractable to polynomial time. Proceedings of the VLDB Endowment. https://doi.org/10.14778/1920841.1920878

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