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S^3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics

Summary: Introduces subgraph similarity search under aggregated neighbor-difference semantics, jointly capturing keyword and structural similarity beyond isomorphism/edit distance. Keyword-set and neighbor-difference lower bounds, plus a dedicated index, enable effective pruning and scalable search. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14182
Venue
VLDB
Year
2025
Pagerank
5.2755515e-05
Overall Rank
9,383 | 35.63%
DOI
10.14778/3749466.3749648

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wen_vldb25,
        title = {{S\^{}3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics}},
        author = {Wen, Qi and Ye, Yutong and Lian, Xiang and Chen, Mingsong},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {3708--3720},
        doi = {10.14778/3749466.3749648},
        url = {https://doi.org/10.14778/3749466.3749648},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,280 Periodic Community Search in Temporal Graphs: Time Series-based Methods 2026 SIGMOD 5.093636e-05
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