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BSX : Subgraph Matching with Batch Backtracking Search
Summary: BSX proposes batch backtracking for subgraph matching, processing data-vertex batches per step to cut redundant search. A search-box model clusters similar search spaces with pruning and early homomorphism termination, plus embedding enumeration, yielding 1–2 orders of magnitude speedup on real graphs.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hac4a473b9bc41fed
Venue
SIGMOD
Year
2025
Pagerank
5.6854796e-05
Overall Rank
6,711 | 55.02%
DOI
10.1145/3709665
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{lu_sigmod25,
title = {{BSX : Subgraph Matching with Batch Backtracking Search}},
author = {Lu, Yujie and Zhang, Zhijie and Zheng, Weiguo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709665},
url = {https://dl.acm.org/doi/10.1145/3709665},
year = {2025}
}
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2008
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TurboISO: Towards UltraFast and Robust Subgraph Isomorphism Search in Large Graph Databases
2013
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Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask
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