| 1,061 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012369764 |
| 1,122 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.0001209124 |
| 1,170 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011827259 |
| 1,876 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
9.5717543e-05 |
| 2,620 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.3363963e-05 |
| 2,731 |
Neural Subgraph Counting with Wasserstein Estimator |
2022 |
SIGMOD |
8.1959181e-05 |
| 2,940 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
7.9381573e-05 |
| 2,991 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.8880723e-05 |
| 3,070 |
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs |
2022 |
VLDB |
7.7900444e-05 |
| 3,086 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
7.7708642e-05 |
| 3,283 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
7.56675e-05 |
| 3,338 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
7.5068221e-05 |
| 3,959 |
Simplicity Done Right for Join Ordering |
2021 |
CIDR |
6.9879431e-05 |
| 4,368 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.7393882e-05 |
| 4,900 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
6.4534715e-05 |
| 5,011 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
6.4020848e-05 |
| 5,277 |
FASTgres: Making Learned Query Optimizer Hinting Effective |
2023 |
VLDB |
6.2859099e-05 |
| 5,368 |
Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations |
2022 |
VLDB |
6.2448114e-05 |
| 5,576 |
SafeBound: A Practical System for Generating Cardinality Bounds |
2023 |
SIGMOD |
6.1663946e-05 |
| 5,639 |
LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences |
2025 |
SIGMOD |
6.1385102e-05 |
| 6,257 |
Join Size Bounds using l_p-Norms on Degree Sequences |
2024 |
PODS |
5.9397944e-05 |
| 6,325 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
5.9125893e-05 |
| 6,434 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
5.8799421e-05 |
| 6,704 |
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation |
2024 |
SIGMOD |
5.797374e-05 |
| 7,193 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
5.6770249e-05 |
| 7,503 |
Disclosure-Compliant Query Answering |
2024 |
SIGMOD |
5.6029996e-05 |
| 7,747 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
5.5529458e-05 |
| 7,967 |
Thrifty Query Execution via Incrementability |
2020 |
SIGMOD |
5.5169373e-05 |
| 8,310 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
5.4556836e-05 |
| 8,513 |
Galley: Modern Query Optimization for Sparse Tensor Programs |
2025 |
SIGMOD |
5.4119882e-05 |
| 8,581 |
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation |
2021 |
VLDB |
5.4082749e-05 |
| 9,027 |
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation |
2023 |
SIGMOD |
5.3293224e-05 |
| 9,756 |
Efficient Query Re-optimization with Judicious Subquery Selections |
2023 |
SIGMOD |
5.2258278e-05 |
| 9,793 |
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes |
2023 |
SIGMOD |
5.2193018e-05 |
| 9,994 |
Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints |
2025 |
PODS |
5.1814573e-05 |
| 9,996 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
5.1814573e-05 |
| 10,016 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.1764556e-05 |
| 10,027 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
5.1745962e-05 |
| 10,108 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
5.1347137e-05 |
| 10,148 |
Size Bound-Adorned Datalog |
2026 |
PODS |
5.093636e-05 |
| 10,296 |
Succinct Structure Representations for Efficient Query Optimization |
2026 |
SIGMOD |
5.093636e-05 |
| 10,438 |
CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations |
2026 |
SIGMOD |
5.093636e-05 |
| 10,726 |
LpBound in Action: Cardinality Estimation with One-Sided Guarantees |
2025 |
SIGMOD |
5.093636e-05 |
| 10,765 |
HoneyComb: A Parallel Worst-Case Optimal Join on Multicores |
2025 |
SIGMOD |
5.093636e-05 |
| 10,885 |
Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach |
2025 |
VLDB |
5.093636e-05 |
| 11,160 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
5.093636e-05 |
| 11,194 |
Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality |
2024 |
SIGMOD |
5.093636e-05 |