Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases
Summary: Subgraph similarity search in large probabilistic graphs with correlated edges; #P-complete. Filter-and-verify with PMI to bound subgraph isomorphism probability; tight lower/upper bounds; efficient verification via sampling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ye Yuan
- 2. Guoren Wang
- 3. Lei Chen
- 4. Haixun Wang
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 572 | Substructure Similarity Search in Graph Databases | 2005 | SIGMOD | 0.00019887011 |
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| 5,854 | Diversified Top-k Subgraph Querying in a Large Graph | 2016 | SIGMOD | 5.3006473e-05 |
| 2,525 | Connected Substructure Similarity Search | 2010 | SIGMOD | 8.5981082e-05 |
| 6,441 | Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding | 2024 | VLDB | 5.0603113e-05 |
| 651 | Efficient Subgraph Matching on Billion Node Graphs | 2012 | VLDB | 0.00018648572 |
| 10,696 | S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics | 2025 | VLDB | 4.1945683e-05 |
| 8,765 | Efficient Query Answering in Probabilistic RDF Graphs | 2011 | SIGMOD | 4.456315e-05 |
| 4,958 | Efficient Subgraph Search over Large Uncertain Graphs | 2011 | VLDB | 5.8031038e-05 |