Sum-Max Monotonic Ranked Joins for Evaluating Top-K Twig Queries on Weighted Data Graphs
Summary: Weighted graphs with weights render keyword twig queries NP-hard; monotonicity for ranked-joins fails. Proposes sum-max monotonicity and HR-Join, a horizon-based, self-punctuating ranked-join for twig queries on graphs; experiments confirm efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yan Qi
- 2. K. Selçuk Candan
- 3. Maria Luisa Sapino
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,143 | Efficient Algorithms for Exact Ranked Twig-Pattern Matching over Graphs | 2008 | SIGMOD | 6.4129418e-05 |
| 7,166 | Ranked Enumeration of Join Queries with Projections | 2022 | VLDB | 4.8124491e-05 |
| 7,762 | Optimal Enumeration: Efficient Top-k Tree Matching | 2015 | VLDB | 4.6583829e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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| 8,061 | Efficient Computation of Quantiles over Joins | 2023 | PODS | 4.5943269e-05 |
| 9,594 | Fast Optimal Twig Joins | 2010 | VLDB | 4.3197044e-05 |
| 2,961 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS | 7.8110394e-05 |
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