Accelerating Subgraph Matching through Fine-grained and Powerful Equivalences
Summary: FiPE eliminates subgraph-search redundancy beyond individual query vertices via vertex-pair and deferred group equivalences, clustering isomorphic neighborhood patterns. Matching-order optimization and conflict resolution yield 2–3 orders-of-magnitude EPS speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yujie Lu (Fudan University)
- 2. Zhijie Zhang (Fudan University)
- 3. Weiguo Zheng (Fudan University)
- 4. Lei Zou (Peking University)
BibTeX Citation
@article{lu_vldb25,
title = {{Accelerating Subgraph Matching through Fine-grained and Powerful Equivalences}},
author = {Lu, Yujie and Zhang, Zhijie and Zheng, Weiguo and Zou, Lei},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {3896--3909},
doi = {10.14778/3749646.3749662},
url = {https://doi.org/10.14778/3749646.3749662},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,558 | Characterizing Parallel Subgraph Matching Performance: A Systematic Study of Interactions, Scalability, and Enumeration | 2026 | VLDB | 5.093636e-05 |
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