ACE: A Cardinality Estimator for Set-Valued Queries
Summary: ACE: an attention-based cardinality estimator for set-valued queries that compresses datasets via a distillation encoder into a compact matrix and uses attention to capture correlations among query elements. Pooling+MLP handles variable-sized queries, avoiding frequency bias and independence assumptions of prior work and delivering superior accuracy and efficiency. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yufan Sheng (University of New South Wales)
- 2. Xin Cao (University of New South Wales)
- 3. Kaiqi Zhao (University of Auckland)
- 4. Yixiang Fang (Chinese University of Hong Kong)
- 5. Jianzhong Qi (University of Melbourne)
- 6. Wenjie Zhang (University of New South Wales)
- 7. Christian S. Jensen (Aalborg University)
BibTeX Citation
@article{sheng_vldb25,
title = {{ACE: A Cardinality Estimator for Set-Valued Queries}},
author = {Sheng, Yufan and Cao, Xin and Zhao, Kaiqi and Fang, Yixiang and Qi, Jianzhong and Zhang, Wenjie and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {7},
pages = {2112--2125},
doi = {10.14778/3734839.3734848},
url = {https://doi.org/10.14778/3734839.3734848},
year = {2025}
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