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Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries

Summary: Two DL-based estimators for multi-attribute selectivity: autoregressive density estimation of the joint distribution and a supervised predictor (range-query support). Tackles featurization, workload awareness, and dynamic data, delivering fast, accurate, compact estimates for many predicates at low selectivity. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5956
Venue
SIGMOD
Year
2020
Pagerank
8.9554751e-05
Overall Rank
2,364 | 83.56%
DOI
10.1145/3318464.3389741

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 40 of 40 citing papers.

Rank Citing Paper Year Venue Pagerank
1,638 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00011049779
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
2,783 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1293383e-05
3,001 Neural Subgraph Counting with Wasserstein Estimator 2022 SIGMOD 7.7404487e-05
3,266 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3074684e-05
3,449 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0824319e-05
3,499 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 7.0376445e-05
3,778 A Learned Sketch for Subgraph Counting 2021 SIGMOD 6.7747398e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6271553e-05
3,990 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 6.5581983e-05
4,359 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 6.2569955e-05
4,417 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 6.2037371e-05
4,434 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.1929999e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.1011198e-05
5,368 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 5.5457532e-05
5,469 Learned Cardinality Estimation for Similarity Queries 2021 SIGMOD 5.4898192e-05
5,861 Machine Learning for Databases 2021 VLDB 5.298883e-05
6,230 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 5.145989e-05
6,247 Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory 2021 VLDB 5.1389201e-05
6,519 Expand your Training Limits! Generating Training Data for ML-based Data Management 2021 SIGMOD 5.0316686e-05
6,879 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.8971368e-05
7,126 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 4.8232367e-05
7,186 LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries 2024 SIGMOD 4.8063731e-05
7,221 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 4.797194e-05
7,457 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 4.7247191e-05
8,023 Design Trade-offs for a Robust Dynamic Hybrid Hash Join 2022 VLDB 4.6035454e-05
8,127 Robust Query Processing: Mission Possible 2020 VLDB 4.579056e-05
8,220 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 4.5557328e-05
8,346 Deep Learning: Systems and Responsibility 2021 SIGMOD 4.5420668e-05
8,384 Consistent and Flexible Selectivity Estimation for High-Dimensional Data 2021 SIGMOD 4.5304673e-05
8,523 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 4.4937074e-05
8,617 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 4.4846425e-05
9,662 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 4.3097631e-05
9,691 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 4.3035354e-05
9,825 Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement 2025 SIGMOD 4.2751057e-05
9,845 Path-centric Cardinality Estimation for Subgraph Matching 2025 VLDB 4.2721228e-05
9,852 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2714575e-05
9,960 An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL 2025 SIGMOD 4.2294678e-05
10,590 ACE: A Cardinality Estimator for Set-Valued Queries 2025 VLDB 4.1945683e-05
10,859 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 27 of 27 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
64 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00063612837
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059038975
92 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00051315959
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
141 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00041786333
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
222 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00032828302
325 The History of Histograms (abridged) 2003 VLDB 0.00027378328
326 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00027358981
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
512 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00021380733
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
754 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.00017117211
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
801 SageDB: A Learned Database System 2019 CIDR 0.00016505496
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
852 Dynamic Multidimensional Histograms 2002 SIGMOD 0.00015941524
1,105 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00013990395
1,254 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013027411
1,547 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00011442359
1,914 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010109102
1,981 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 9.8687545e-05
2,841 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.0287389e-05
2,969 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 7.7974762e-05
3,651 Conditional Selectivity for Statistics on Query Expressions 2004 SIGMOD 6.8768678e-05
3,725 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 6.8170734e-05
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