| 905 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00015423174 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011050093 |
| 2,494 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
8.6457436e-05 |
| 2,769 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
8.1512848e-05 |
| 2,781 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
8.1282042e-05 |
| 2,988 |
Neural Subgraph Counting with Wasserstein Estimator |
2022 |
SIGMOD |
7.7752463e-05 |
| 3,026 |
Towards Practical Oblivious Join |
2022 |
SIGMOD |
7.691304e-05 |
| 3,269 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
7.3026051e-05 |
| 3,386 |
Answering (Unions of) Conjunctive Queries using Random Access and Random-Order Enumeration |
2020 |
PODS |
7.151562e-05 |
| 3,455 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
7.0760196e-05 |
| 3,644 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
6.8842065e-05 |
| 3,781 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
6.7691344e-05 |
| 3,924 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
6.6227223e-05 |
| 3,992 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
6.5519369e-05 |
| 4,431 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.1870601e-05 |
| 4,526 |
Simplicity Done Right for Join Ordering |
2021 |
CIDR |
6.1079584e-05 |
| 4,543 |
FACE: A Normalizing Flow based Cardinality Estimator |
2022 |
VLDB |
6.0953507e-05 |
| 4,926 |
On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms |
2023 |
PODS |
5.8184457e-05 |
| 5,022 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
5.7479778e-05 |
| 5,085 |
Guaranteeing the O~(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins |
2023 |
PODS |
5.7040225e-05 |
| 5,128 |
Efficient Join Synopsis Maintenance for Data Warehouse |
2020 |
SIGMOD |
5.6728511e-05 |
| 5,405 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
5.5243727e-05 |
| 5,630 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
5.4010111e-05 |
| 5,931 |
FASTgres: Making Learned Query Optimizer Hinting Effective |
2023 |
VLDB |
5.2632167e-05 |
| 5,952 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
5.2547498e-05 |
| 5,982 |
Responsible Data Integration: Next-generation Challenges |
2022 |
SIGMOD |
5.2409386e-05 |
| 6,288 |
Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach |
2024 |
VLDB |
5.1226099e-05 |
| 6,481 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.039683e-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 |
| 6,715 |
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks |
2024 |
SIGMOD |
4.9464666e-05 |
| 6,724 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
4.9449472e-05 |
| 6,860 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
4.9008421e-05 |
| 7,180 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8032775e-05 |
| 7,188 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
4.8017628e-05 |
| 7,246 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
4.7847433e-05 |
| 7,920 |
JoinBoost: Grow Trees Over Normalized Data Using Only SQL |
2023 |
VLDB |
4.6120304e-05 |
| 8,345 |
alpha to omega: The Greek Alphabet of Sampling |
2020 |
CIDR |
4.5361313e-05 |
| 8,521 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
4.4893996e-05 |
| 8,609 |
Efficient Dynamic Weighted Set Sampling and Its Extension |
2024 |
VLDB |
4.4810481e-05 |
| 8,642 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
4.4734993e-05 |
| 8,952 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
4.4195459e-05 |
| 8,964 |
Reservoir Sampling over Joins |
2024 |
SIGMOD |
4.4163852e-05 |
| 9,238 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
4.3648789e-05 |
| 9,621 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
4.3125802e-05 |
| 9,801 |
Threshold Queries in Theory and in the Wild |
2022 |
VLDB |
4.2777144e-05 |
| 9,845 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
4.2680295e-05 |
| 9,876 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
4.2615675e-05 |
| 9,877 |
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation |
2025 |
VLDB |
4.2615675e-05 |
| 9,885 |
Scalable and Usable Relational Learning With Automatic Language Bias |
2021 |
SIGMOD |
4.2580321e-05 |
| 9,945 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
4.240067e-05 |