| 983 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00012677179 |
| 1,064 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012181459 |
| 1,156 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011759683 |
| 1,740 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
9.7289523e-05 |
| 2,584 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.2435322e-05 |
| 2,635 |
Neural Subgraph Counting with Wasserstein Estimator |
2022 |
SIGMOD |
8.1795762e-05 |
| 2,829 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
7.9469964e-05 |
| 2,852 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.9201312e-05 |
| 2,987 |
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs |
2022 |
VLDB |
7.767043e-05 |
| 3,060 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
7.6828463e-05 |
| 3,105 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
7.6278115e-05 |
| 3,269 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
7.463682e-05 |
| 3,995 |
Simplicity Done Right for Join Ordering |
2021 |
CIDR |
6.8530469e-05 |
| 4,479 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5665703e-05 |
| 4,882 |
LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences |
2025 |
SIGMOD |
6.3565046e-05 |
| 5,029 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
6.2952031e-05 |
| 5,075 |
SafeBound: A Practical System for Generating Cardinality Bounds |
2023 |
SIGMOD |
6.2721634e-05 |
| 5,153 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
6.2375324e-05 |
| 5,245 |
FASTgres: Making Learned Query Optimizer Hinting Effective |
2023 |
VLDB |
6.1995935e-05 |
| 5,522 |
Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations |
2022 |
VLDB |
6.0818991e-05 |
| 5,717 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
6.0067263e-05 |
| 5,911 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
5.9338021e-05 |
| 5,925 |
Join Size Bounds using l_p-Norms on Degree Sequences |
2024 |
PODS |
5.9282898e-05 |
| 6,812 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
5.6597129e-05 |
| 6,840 |
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation |
2024 |
SIGMOD |
5.6513231e-05 |
| 7,587 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
5.4745198e-05 |
| 7,666 |
Disclosure-Compliant Query Answering |
2024 |
SIGMOD |
5.4565877e-05 |
| 8,060 |
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation |
2023 |
SIGMOD |
5.382134e-05 |
| 8,154 |
Thrifty Query Execution via Incrementability |
2020 |
SIGMOD |
5.3732833e-05 |
| 8,188 |
Efficient Query Re-optimization with Judicious Subquery Selections |
2023 |
SIGMOD |
5.3649397e-05 |
| 8,499 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
5.3131213e-05 |
| 8,675 |
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation |
2021 |
VLDB |
5.2751633e-05 |
| 8,710 |
Galley: Modern Query Optimization for Sparse Tensor Programs |
2025 |
SIGMOD |
5.2705676e-05 |
| 9,518 |
LpBound in Action: Cardinality Estimation with One-Sided Guarantees |
2025 |
SIGMOD |
5.151324e-05 |
| 9,810 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
5.112328e-05 |
| 9,991 |
HoneyComb: A Parallel Worst-Case Optimal Join on Multicores |
2025 |
SIGMOD |
5.0845476e-05 |
| 10,014 |
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes |
2023 |
SIGMOD |
5.0838565e-05 |
| 10,220 |
Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints |
2025 |
PODS |
5.0460607e-05 |
| 10,221 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
5.0460607e-05 |
| 10,249 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.0412674e-05 |
| 10,370 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
5.0010514e-05 |
| 10,379 |
Algebraic Subgraph Counting |
2027 |
SIGMOD |
4.9605343e-05 |
| 10,443 |
Size Bound-Adorned Datalog |
2026 |
PODS |
4.9605343e-05 |
| 10,585 |
Succinct Structure Representations for Efficient Query Optimization |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,699 |
CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,970 |
ANNiE: A Learned Query Cost Estimator for Graph-Based Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.9605343e-05 |
| 11,349 |
Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach |
2025 |
VLDB |
4.9605343e-05 |
| 11,564 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
4.9605343e-05 |
| 11,591 |
Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality |
2024 |
SIGMOD |
4.9605343e-05 |