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)
Incoming Non-self Citations Over Time
Authors
- 1. Nikolai Karpov (Indiana University)
- 2. Qin Zhang (Indiana University)
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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