| 513 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00017190574 |
| 1,122 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.0001209124 |
| 1,799 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.7326398e-05 |
| 1,876 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
9.5717543e-05 |
| 1,988 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.3501502e-05 |
| 2,417 |
Towards Practical Oblivious Join |
2022 |
SIGMOD |
8.6061949e-05 |
| 2,543 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
8.4445934e-05 |
| 2,723 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.2049453e-05 |
| 2,731 |
Neural Subgraph Counting with Wasserstein Estimator |
2022 |
SIGMOD |
8.1959181e-05 |
| 2,777 |
Answering (Unions of) Conjunctive Queries using Random Access and Random-Order Enumeration |
2020 |
PODS |
8.1352657e-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 |
| 3,086 |
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 |
| 3,453 |
On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms |
2023 |
PODS |
7.4004131e-05 |
| 3,688 |
FACE: A Normalizing Flow based Cardinality Estimator |
2022 |
VLDB |
7.201795e-05 |
| 3,941 |
Guaranteeing the O~(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins |
2023 |
PODS |
7.0074268e-05 |
| 3,959 |
Simplicity Done Right for Join Ordering |
2021 |
CIDR |
6.9879431e-05 |
| 4,349 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
6.7504619e-05 |
| 4,368 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.7393882e-05 |
| 4,630 |
Efficient Join Synopsis Maintenance for Data Warehouse |
2020 |
SIGMOD |
6.5955933e-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 |
| 5,300 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
6.2751506e-05 |
| 5,510 |
Responsible Data Integration: Next-generation Challenges |
2022 |
SIGMOD |
6.1919207e-05 |
| 5,551 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
6.1782856e-05 |
| 5,743 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
6.1025457e-05 |
| 5,942 |
Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach |
2024 |
VLDB |
6.0334209e-05 |
| 6,132 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
5.9660278e-05 |
| 6,206 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
5.9443409e-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 |
| 6,341 |
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks |
2024 |
SIGMOD |
5.9068986e-05 |
| 6,585 |
JoinBoost: Grow Trees Over Normalized Data Using Only SQL |
2023 |
VLDB |
5.8350362e-05 |
| 6,760 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.7826781e-05 |
| 7,048 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.7178054e-05 |
| 7,112 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
5.6990782e-05 |
| 7,142 |
Efficient Dynamic Weighted Set Sampling and Its Extension |
2024 |
VLDB |
5.6917227e-05 |
| 7,335 |
Reservoir Sampling over Joins |
2024 |
SIGMOD |
5.64193e-05 |
| 8,183 |
alpha to omega: The Greek Alphabet of Sampling |
2020 |
CIDR |
5.4714466e-05 |
| 8,204 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
5.4667903e-05 |
| 8,492 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
5.4145838e-05 |
| 8,608 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
5.4024561e-05 |
| 8,728 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.3766157e-05 |
| 8,986 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
5.3387783e-05 |
| 9,512 |
Poisson Sampling over Acyclic Joins |
2026 |
SIGMOD |
5.2571354e-05 |
| 9,617 |
NeuSO: Neural Optimizer for Subgraph Queries |
2026 |
SIGMOD |
5.2434488e-05 |
| 9,719 |
Subset Sampling over Joins |
2026 |
PODS |
5.2319816e-05 |
| 9,961 |
Threshold Queries in Theory and in the Wild |
2022 |
VLDB |
5.1879626e-05 |
| 9,996 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
5.1814573e-05 |
| 10,027 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
5.1745962e-05 |