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IDAR: Fast Supergraph Search Using DAG Integration

Summary: Introduces DAG integration and four techniques—dynamic programming with the integrated DAG, active-first search, and relevance-size ordering—to accelerate supergraph search (data graphs embedded in a query graph). Experiments report orders-of-magnitude speedups in indexing and query processing versus state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12243
Venue
VLDB
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,793 | 19.09%
DOI
10.14778/3397230.3397241

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@article{kim_vldb20,
        title = {{IDAR: Fast Supergraph Search Using DAG Integration}},
        author = {Kim, Hyunjoon and Min, Seunghwan and Park, Kunsoo and Lin, Xuemin and Hong, Seok-Hee and Han, Wook-Shin},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {9},
        pages = {1456--1468},
        doi = {10.14778/3397230.3397241},
        url = {https://doi.org/10.14778/3397230.3397241},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
6,393 BICE: Exploring Compact Search Space by Using Bipartite Matching and Cell-Wide Verification 2023 VLDB 5.8879832e-05
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Outgoing Citations (Sorted by Pagerank)

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