BOOMER: A Tool for Blending Visual P-Homomorphic Queries on Large Networks
Summary: Boomer blends visual subgraph query formulation with bounded 1-1 p-homomorphic queries on large networks. It extends beyond subgraph isomorphism, enabling interactive, GUI-driven querying with flexible bound-path semantics and strong performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yinglong Song
- 2. Huey Eng Chua
- 3. Sourav S Bhowmick
- 4. Byron Choi
- 5. Shuigeng Zhou
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 260 | Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling | 2013 | SIGMOD | 0.00030040036 |
| 1,414 | Graph Pattern Matching: From Intractable to Polynomial Time | 2010 | VLDB | 0.00012118275 |
| 2,938 | Graph Homomorphism Revisited for Graph Matching | 2010 | VLDB | 7.8524059e-05 |
| 6,206 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD | 5.1574851e-05 |
| 6,313 | QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks | 2013 | SIGMOD | 5.1158493e-05 |
| 6,971 | BOOMER: Blending Visual Formulation and Processing of P-Homomorphic Queries on Large Networks | 2018 | SIGMOD | 4.8792893e-05 |
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