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Mining and Indexing Graphs for Supergraph Search

Summary: Supergraph search (SPS) on graph databases; subgraph/supergraph checks are NP-hard, motivating index-based SPS. Proposes subgraph mining optimizing both filtering and prefix-sharing gains, LW-index, and two approximations (1-1/e, 1/4); yields 3-10× SPS speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10932
Venue
VLDB
Year
2013
Pagerank
5.8535203e-05
Overall Rank
6,520 | 55.27%
DOI
10.14778/2536206.2536211

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yuan_vldb13,
        title = {{Mining and Indexing Graphs for Supergraph Search}},
        author = {Yuan, Dayu and Mitra, Prasenjit and Giles, C. Lee},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {10},
        doi = {10.14778/2536206.2536211},
        url = {https://doi.org/10.14778/2536206.2536211},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,477 Performance and Scalability of Indexed Subgraph Query Processing Methods 2015 VLDB 7.3791229e-05
11,793 IDAR: Fast Supergraph Search Using DAG Integration 2020 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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