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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
- 6726
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.452825e-05
- Overall Rank
- 8,783 | 38.90%
- 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 |
| 158 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00040071492 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039180521 |
| 333 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027206884 |
| 426 |
Amazon Redshift and the Case for Simpler Data Warehouses |
2015 |
SIGMOD |
0.00023594359 |
| 562 |
Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search |
2016 |
VLDB |
0.00020091752 |
| 640 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00018759152 |
| 731 |
Optimizing Queries Using Materialized Views: A Practical, Scalable Solution |
2001 |
SIGMOD |
0.00017468889 |
| 1,522 |
The Containment Problem for Real Conjunctive Queries with Inequalities |
2006 |
PODS |
0.0001153051 |
| 1,922 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
0.00010082599 |
| 2,099 |
Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries |
2018 |
VLDB |
9.5479391e-05 |
| 2,596 |
WeTune: Automatic Discovery and Verification of Query Rewrite Rules |
2022 |
SIGMOD |
8.4729982e-05 |
| 3,335 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2065006e-05 |
| 3,901 |
Automated Verification of Query Equivalence Using Satisfiability Modulo Theories |
2019 |
VLDB |
6.6499845e-05 |
| 4,174 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
6.3856219e-05 |
| 4,278 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2953764e-05 |
| 4,623 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.0411909e-05 |
| 4,670 |
Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google |
2021 |
VLDB |
6.0104466e-05 |
| 5,195 |
Equivalence of Queries Combining Set and Bag-Set Semantics |
2006 |
PODS |
5.6366303e-05 |
| 6,040 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
5.2412035e-05 |
| 6,757 |
KEA: Tuning an Exabyte-Scale Data Infrastructure |
2021 |
SIGMOD |
4.9372134e-05 |
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VLDB |
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