| 1 |
Access Path Selection in a Relational Database Management System |
1979 |
SIGMOD |
0.0040465394 |
| 203 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034868567 |
| 373 |
Selectivity Estimation using Probabilistic Models |
2001 |
SIGMOD |
0.00025354685 |
| 553 |
Bifocal Sampling for Skew-Resistant Join Size Estimation |
1996 |
SIGMOD |
0.00020272747 |
| 606 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019251186 |
| 838 |
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data |
2001 |
SIGMOD |
0.00016024923 |
| 905 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00015423174 |
| 1,104 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.0001398479 |
| 1,194 |
Join Size Estimation Subject to Filter Conditions |
2015 |
VLDB |
0.00013411666 |
| 1,239 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013091459 |
| 1,452 |
What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another? |
2017 |
PODS |
0.00011922523 |
| 1,536 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00011458359 |
| 1,586 |
Augmented Sketch: Faster and More Accurate Stream Processing |
2016 |
SIGMOD |
0.00011245213 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011050093 |
| 1,699 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00010848882 |
| 1,906 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00010135267 |
| 2,143 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
9.4437798e-05 |
| 2,254 |
Two-Level Sampling for Join Size Estimation |
2017 |
SIGMOD |
9.1871115e-05 |
| 3,269 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
7.3026051e-05 |
| 3,992 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
6.5519369e-05 |
| 5,528 |
Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts |
2022 |
SIGMOD |
5.4571136e-05 |
| 5,886 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
5.2847297e-05 |
| 5,978 |
SafeBound: A Practical System for Generating Cardinality Bounds |
2023 |
SIGMOD |
5.2424396e-05 |
| 6,382 |
Sample-Efficient Cardinality Estimation Using Geometric Deep Learning |
2024 |
VLDB |
5.0835686e-05 |
| 6,705 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
4.9507418e-05 |
| 6,822 |
Computing Join Queries with Functional Dependencies |
2016 |
PODS |
4.9101655e-05 |
| 6,967 |
LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences |
2025 |
SIGMOD |
4.875312e-05 |
| 7,337 |
Join Size Bounds using l_p-Norms on Degree Sequences |
2024 |
PODS |
4.7532633e-05 |
| 7,887 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
4.6218382e-05 |
| 8,695 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
4.461508e-05 |
| 9,079 |
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation |
2023 |
SIGMOD |
4.3956812e-05 |
| 9,628 |
Approximate Sketches |
2024 |
SIGMOD |
4.3102157e-05 |
| 9,843 |
Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints |
2025 |
PODS |
4.2680295e-05 |