| 981 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00012713454 |
| 1,065 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012202293 |
| 1,155 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011777046 |
| 1,735 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
9.7566604e-05 |
| 2,583 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.2589842e-05 |
| 2,635 |
Neural Subgraph Counting with Wasserstein Estimator |
2022 |
SIGMOD |
8.1954989e-05 |
| 2,824 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
7.9662478e-05 |
| 2,844 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.9446987e-05 |
| 2,975 |
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs |
2022 |
VLDB |
7.7905662e-05 |
| 3,053 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
7.7041081e-05 |
| 3,161 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
7.5771609e-05 |
| 3,327 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
7.4233639e-05 |
| 3,983 |
Simplicity Done Right for Join Ordering |
2021 |
CIDR |
6.8722161e-05 |
| 4,459 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5883555e-05 |
| 4,854 |
LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences |
2025 |
SIGMOD |
6.3775929e-05 |
| 5,006 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
6.3159614e-05 |
| 5,129 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
6.2582129e-05 |
| 5,224 |
SafeBound: A Practical System for Generating Cardinality Bounds |
2023 |
SIGMOD |
6.2197808e-05 |
| 5,236 |
FASTgres: Making Learned Query Optimizer Hinting Effective |
2023 |
VLDB |
6.2153504e-05 |
| 5,500 |
Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations |
2022 |
VLDB |
6.1020763e-05 |
| 5,895 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
5.9534254e-05 |
| 5,904 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
5.9511271e-05 |
| 5,910 |
Join Size Bounds using l_p-Norms on Degree Sequences |
2024 |
PODS |
5.9478947e-05 |
| 6,796 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
5.6784895e-05 |
| 6,824 |
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation |
2024 |
SIGMOD |
5.670071e-05 |
| 7,572 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
5.492682e-05 |
| 7,653 |
Disclosure-Compliant Query Answering |
2024 |
SIGMOD |
5.4746904e-05 |
| 8,042 |
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation |
2023 |
SIGMOD |
5.3999898e-05 |
| 8,137 |
Thrifty Query Execution via Incrementability |
2020 |
SIGMOD |
5.391109e-05 |
| 8,170 |
Efficient Query Re-optimization with Judicious Subquery Selections |
2023 |
SIGMOD |
5.3827384e-05 |
| 8,484 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
5.330748e-05 |
| 8,658 |
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation |
2021 |
VLDB |
5.2923672e-05 |
| 8,690 |
Galley: Modern Query Optimization for Sparse Tensor Programs |
2025 |
SIGMOD |
5.2880532e-05 |
| 9,489 |
LpBound in Action: Cardinality Estimation with One-Sided Guarantees |
2025 |
SIGMOD |
5.168414e-05 |
| 9,958 |
HoneyComb: A Parallel Worst-Case Optimal Join on Multicores |
2025 |
SIGMOD |
5.1014161e-05 |
| 9,983 |
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes |
2023 |
SIGMOD |
5.1007226e-05 |
| 10,186 |
Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints |
2025 |
PODS |
5.0628015e-05 |
| 10,187 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
5.0628015e-05 |
| 10,212 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.0579923e-05 |
| 10,221 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
5.0560976e-05 |
| 10,343 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
5.0176429e-05 |
| 10,377 |
Size Bound-Adorned Datalog |
2026 |
PODS |
4.9769913e-05 |
| 10,519 |
Succinct Structure Representations for Efficient Query Optimization |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,638 |
CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,909 |
ANNiE: A Learned Query Cost Estimator for Graph-Based Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.9769913e-05 |
| 11,294 |
Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach |
2025 |
VLDB |
4.9769913e-05 |
| 11,513 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
4.9769913e-05 |
| 11,542 |
Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality |
2024 |
SIGMOD |
4.9769913e-05 |