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SyncSignature: A Simple, Efficient, Parallelizable Framework for Tree Similarity Joins

Summary: SyncSignature: first fully parallelizable framework for tree similarity joins under edit distance using implicitly-synchronized signature generation to enable hash-join candidate generation. Beats prior work in parallel settings and on large trees (single-thread too); includes theoretical analysis of signature schemes. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13353
Venue
VLDB
Year
2023
Pagerank
5.6090634e-05
Overall Rank
7,476 | 48.71%
DOI
10.14778/3565816.3565833

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{karpov_vldb23,
        title = {{SyncSignature: A Simple, Efficient, Parallelizable Framework for Tree Similarity Joins}},
        author = {Karpov, Nikolai and Zhang, Qin},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {2},
        pages = {330--342},
        doi = {10.14778/3565816.3565833},
        url = {https://doi.org/10.14778/3565816.3565833},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,951 Extensible and Robust Evaluation of Similarity Queries 2025 VLDB 5.093636e-05
11,224 X-TED: Massive Parallelization of Tree Edit Distance 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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