Back to papers
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
Summary: Proposes MSCN, a multi-set convolutional network that encodes relational query plans with set semantics to learn cardinalities and capture join-crossing correlations. Combines deep learning with sampling to handle zero-sample cases, yielding much better estimates on real-world data.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 315
- Venue
- CIDR
- Year
- 2019
- Pagerank
- 0.00034784455
- Overall Rank
- 204 | 98.59%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 176 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 10,149 |
CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,197 |
Qualitative Join Discovery in Data Lakes using Examples |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,216 |
The Case For Language Model Approximated LIKE Predicate |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,219 |
Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,271 |
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning |
2026 |
VLDB |
4.1945683e-05 |
| 10,288 |
TATA: An Efficient Framework for Task Transfer in Query Plan Representation |
2026 |
VLDB |
4.1945683e-05 |
| 10,385 |
Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,619 |
Data-Agnostic Cardinality Learning from Imperfect Workloads |
2025 |
VLDB |
4.1945683e-05 |
| 10,630 |
Conformal Prediction for Verifiable Learned Query Optimization |
2025 |
VLDB |
4.1945683e-05 |
| 10,639 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.1945683e-05 |
| 10,699 |
The Accuracy of Cardinality Estimators: Unraveling the Evaluation Result Conundrum |
2025 |
VLDB |
4.1945683e-05 |
| 10,724 |
Privacy-Enhanced Database Synthesis for Benchmark Publishing |
2025 |
VLDB |
4.1945683e-05 |
| 10,726 |
Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries |
2025 |
VLDB |
4.1945683e-05 |
| 10,795 |
Opening The Black-Box: Explaining Learned Cost Models For Databases |
2025 |
VLDB |
4.1945683e-05 |
| 10,833 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
4.1945683e-05 |
| 10,840 |
Learned Cost Models for Query Optimization: From Batch to Streaming Systems |
2025 |
VLDB |
4.1945683e-05 |
| 10,859 |
Graph Transformers for Query Plan Representation: Potentials and Challenges |
2025 |
VLDB |
4.1945683e-05 |
| 10,868 |
LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison |
2025 |
VLDB |
4.1945683e-05 |
| 10,872 |
LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases |
2025 |
VLDB |
4.1945683e-05 |
| 10,942 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,056 |
Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications |
2024 |
VLDB |
4.1945683e-05 |
| 11,190 |
Efficient and Effective Cardinality Estimation for Skyline Family |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,236 |
AdaChain: A Learned Adaptive Blockchain |
2023 |
VLDB |
4.1945683e-05 |
| 11,341 |
Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications |
2022 |
SIGMOD |
4.1945683e-05 |
| 11,349 |
LANTERN: Boredom-conscious Natural Language Description Generation of Query Execution Plans for Database Education |
2022 |
SIGMOD |
4.1945683e-05 |
| 11,446 |
Index-Based Join Size Estimation Using Adaptive Sampling |
2021 |
SIGMOD |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 141 |
Selectivity Estimation Without the Attribute Value Independence Assumption |
1997 |
VLDB |
0.00041786333 |
| 183 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036721403 |
| 629 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00018942366 |
| 1,019 |
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques |
2012 |
VLDB |
0.00014625603 |
| 1,105 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00013990395 |
| 1,193 |
Join Size Estimation Subject to Filter Conditions |
2015 |
VLDB |
0.00013414989 |
| 1,619 |
Adaptive Optimization of Very Large Join Queries |
2018 |
SIGMOD |
0.00011111678 |
| 1,758 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010655546 |
| 1,981 |
Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses |
2018 |
VLDB |
9.8687545e-05 |
| 2,254 |
Two-Level Sampling for Join Size Estimation |
2017 |
SIGMOD |
9.1897043e-05 |
| 2,669 |
A Black-Box Approach to Query Cardinality Estimation |
2007 |
CIDR |
8.3389856e-05 |
| 2,841 |
Selectivity Estimation in Extensible Databases - A Neural Network Approach |
1998 |
VLDB |
8.0287389e-05 |
Semantically Similar Papers