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Performance and Scalability of Indexed Subgraph Query Processing Methods

Summary: Systematic benchmark of six indexed subgraph-query methods across graph size, density, labels, dataset cardinality, and query size. Real and synthetic experiments expose tradeoffs in index construction/size, query latency, false positives, and scalability. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11222
Venue
VLDB
Year
2015
Pagerank
7.3791229e-05
Overall Rank
3,477 | 76.15%
DOI
10.14778/2824032.2824046

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{katsarou_vldb15,
        title = {{Performance and Scalability of Indexed Subgraph Query Processing Methods}},
        author = {Katsarou, Foteini and Ntarmos, Nikos and Triantafillou, Peter},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {1566--1577},
        doi = {10.14778/2824032.2824046},
        url = {https://doi.org/10.14778/2824032.2824046},
        year = {2015}
}

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