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Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries

Summary: Degree-aware heavy/light framework for static and dynamic evaluation of hierarchical queries with arbitrary free variables, trading preprocessing, update time, and enumeration delay via a tunable light/heavy threshold. Recovers prior bounds and, for a restricted subclass, achieves OMv‑conditioned worst-case optimal update time and enumeration delay. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1777
Venue
PODS
Year
2020
Pagerank
6.7658346e-05
Overall Rank
3,785 | 73.70%
DOI
10.1145/3375395.3387646

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Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
4,787 The Relational Data Borg is Learning 2020 VLDB 5.9168117e-05
5,973 Change Propagation Without Joins 2023 VLDB 5.2459364e-05
6,699 Maintaining Acyclic Foreign-Key Joins under Updates 2020 SIGMOD 4.9534535e-05
7,165 Ranked Enumeration of Join Queries with Projections 2022 VLDB 4.807833e-05
7,762 Space-Time Tradeoffs for Conjunctive Queries with Access Patterns 2023 PODS 4.6542406e-05
8,428 Insert-Only versus Insert-Delete in Dynamic Query Evaluation 2024 PODS 4.5095504e-05
8,750 Efficient Enumeration for Annotated Grammars 2022 PODS 4.4520434e-05
8,964 Reservoir Sampling over Joins 2024 SIGMOD 4.4163852e-05
8,972 Output-sensitive Conjunctive Query Evaluation 2024 PODS 4.4150824e-05
9,654 Probabilistic Databases under Updates: Boolean Query Evaluation and Ranked Enumeration 2021 PODS 4.3067693e-05
9,706 Towards Update-Dependent Analysis of Query Maintenance 2025 PODS 4.2951473e-05
10,049 Approximate Query Processing under Updates 2026 SIGMOD 4.1905499e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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