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GEqO: ML-Accelerated Semantic Equivalence Detection
Summary: GEqO: ML-accelerated semantic equivalence for analytics. Two ML filters prune non-equivalents; semi-supervised learning and database-agnostic featurization enable cross-workload semantic equivalence, up to 200x speedups and 2x more equivalences.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6727
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.4485568e-05
- Overall Rank
- 8,780 | 38.98%
- DOI
-
10.1145/3626710
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 160 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00040053897 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039408116 |
| 329 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027301488 |
| 424 |
Amazon Redshift and the Case for Simpler Data Warehouses |
2015 |
SIGMOD |
0.00023604384 |
| 596 |
Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search |
2016 |
VLDB |
0.00019455943 |
| 634 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00018844568 |
| 728 |
Optimizing Queries Using Materialized Views: A Practical, Scalable Solution |
2001 |
SIGMOD |
0.00017459654 |
| 1,520 |
The Containment Problem for Real Conjunctive Queries with Inequalities |
2006 |
PODS |
0.00011524911 |
| 1,921 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
0.00010085899 |
| 2,097 |
Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries |
2018 |
VLDB |
9.5439744e-05 |
| 2,595 |
WeTune: Automatic Discovery and Verification of Query Rewrite Rules |
2022 |
SIGMOD |
8.4725961e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 3,903 |
Automated Verification of Query Equivalence Using Satisfiability Modulo Theories |
2019 |
VLDB |
6.6439695e-05 |
| 4,171 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
6.3800823e-05 |
| 4,273 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2932217e-05 |
| 4,621 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.036749e-05 |
| 4,665 |
Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google |
2021 |
VLDB |
6.0057914e-05 |
| 5,196 |
Equivalence of Queries Combining Set and Bag-Set Semantics |
2006 |
PODS |
5.6311982e-05 |
| 5,994 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
5.2367998e-05 |
| 7,099 |
KEA: Tuning an Exabyte-Scale Data Infrastructure |
2021 |
SIGMOD |
4.8263529e-05 |
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CIDR |
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VLDB |
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VLDB |
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| 2,097 |
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9.5439744e-05 |
| 3,903 |
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6.6439695e-05 |
| 5,245 |
QED: A Powerful Query Equivalence Decider for SQL |
2024 |
VLDB |
5.6017846e-05 |