Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases
Summary: Targets subgraph similarity search in large probabilistic graphs with correlated edge occurrences, proving the problem #P-complete. A PMI-based filter derives tight probability bounds for pruning, followed by efficient sampling-based verification. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ye Yuan (Northeastern University)
- 2. Guoren Wang (Northeastern University)
- 3. Lei Chen (Hong Kong University of Science and Technology)
- 4. Haixun Wang (Microsoft)
BibTeX Citation
@article{yuan_vldb12,
title = {{Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases}},
author = {Yuan, Ye and Wang, Guoren and Chen, Lei and Wang, Haixun},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {9},
pages = {800--811},
doi = {10.14778/2311906.2311908},
url = {https://doi.org/10.14778/2311906.2311908},
year = {2012}
}
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