Learned Cardinality Estimation: An In-depth Study
Summary: Introduces a taxonomy and unified workflow for learned cardinality estimators, enabling fair, apples-to-apples evaluation of join scenarios. Conducts comprehensive experiments on IMDB and TPC-DS beyond toy datasets, demystifies black-box models, identifies error drivers, and links CE to query optimization, suggesting actionable research directions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kyoungmin Kim (Pohang University of Science and Technology)
- 2. Jisung Jung (Pohang University of Science and Technology)
- 3. In Seo (Pohang University of Science and Technology)
- 4. Wook-Shin Han (Pohang University of Science and Technology)
- 5. Kangwoo Choi (SAP)
- 6. Jaehyok Chong (SAP)
BibTeX Citation
@inproceedings{kim_sigmod22,
title = {{Learned Cardinality Estimation: An In-depth Study}},
author = {Kim, Kyoungmin and Jung, Jisung and Seo, In and Han, Wook-Shin and Choi, Kangwoo and Chong, Jaehyok},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526154},
url = {https://dl.acm.org/doi/10.1145/3514221.3526154},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 29 of 29 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,543 | Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation | 2023 | SIGMOD |
| 2 | 5,011 | Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach | 2020 | SIGMOD |
| 3 | 5,712 | Sample-Efficient Cardinality Estimation Using Geometric Deep Learning | 2024 | VLDB |
| 4 | 401 | Deep Unsupervised Cardinality Estimation | 2020 | VLDB |
| 5 | 7,268 | Cardinality Estimation of Approximate Substring Queries using Deep Learning | 2022 | VLDB |
| 6 | 9,844 | Cardinality Estimation of LIKE Predicate Queries using Deep Learning | 2025 | SIGMOD |
| 7 | 84 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2019 | CIDR |
| 8 | 4,617 | Learned Cardinality Estimation for Similarity Queries | 2021 | SIGMOD |
| 9 | 1,061 | Are We Ready For Learned Cardinality Estimation? | 2021 | VLDB |
| 10 | 2,723 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB |