| 524 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00017177356 |
| 1,164 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011978719 |
| 1,901 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.6066443e-05 |
| 1,931 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
9.5483519e-05 |
| 1,976 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.4645971e-05 |
| 2,533 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
8.5233704e-05 |
| 2,663 |
Towards Practical Oblivious Join |
2022 |
SIGMOD |
8.3448927e-05 |
| 2,688 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.3172831e-05 |
| 2,689 |
Neural Subgraph Counting with Wasserstein Estimator |
2022 |
SIGMOD |
8.317052e-05 |
| 2,879 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
8.0744978e-05 |
| 3,021 |
Answering (Unions of) Conjunctive Queries using Random Access and Random-Order Enumeration |
2020 |
PODS |
7.9062964e-05 |
| 3,041 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
7.8821124e-05 |
| 3,108 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.8122622e-05 |
| 3,229 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
7.6920894e-05 |
| 3,640 |
FACE: A Normalizing Flow based Cardinality Estimator |
2022 |
VLDB |
7.3040801e-05 |
| 3,877 |
Simplicity Done Right for Join Ordering |
2021 |
CIDR |
7.1096512e-05 |
| 4,293 |
On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms |
2023 |
PODS |
6.8490255e-05 |
| 4,445 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.7542989e-05 |
| 4,463 |
Guaranteeing the O~(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins |
2023 |
PODS |
6.7462588e-05 |
| 4,555 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
6.6989559e-05 |
| 4,594 |
Efficient Join Synopsis Maintenance for Data Warehouse |
2020 |
SIGMOD |
6.6845011e-05 |
| 4,944 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
6.4987159e-05 |
| 5,214 |
FASTgres: Making Learned Query Optimizer Hinting Effective |
2023 |
VLDB |
6.3840792e-05 |
| 5,269 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
6.3611132e-05 |
| 5,432 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
6.2922377e-05 |
| 5,493 |
Responsible Data Integration: Next-generation Challenges |
2022 |
SIGMOD |
6.2660773e-05 |
| 5,845 |
Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach |
2024 |
VLDB |
6.1294746e-05 |
| 5,959 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
6.0884434e-05 |
| 6,225 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
6.0105297e-05 |
| 6,227 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
6.0093252e-05 |
| 6,249 |
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks |
2024 |
SIGMOD |
6.0015158e-05 |
| 6,313 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
5.976279e-05 |
| 6,648 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.8722385e-05 |
| 6,937 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.804488e-05 |
| 7,028 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
5.7768268e-05 |
| 7,587 |
JoinBoost: Grow Trees Over Normalized Data Using Only SQL |
2023 |
VLDB |
5.6470468e-05 |
| 8,054 |
alpha to omega: The Greek Alphabet of Sampling |
2020 |
CIDR |
5.5562082e-05 |
| 8,496 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
5.4861277e-05 |
| 8,611 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.4598872e-05 |
| 8,669 |
Efficient Dynamic Weighted Set Sampling and Its Extension |
2024 |
VLDB |
5.4561925e-05 |
| 8,846 |
Reservoir Sampling over Joins |
2024 |
SIGMOD |
5.4239669e-05 |
| 8,856 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
5.4214637e-05 |
| 9,248 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
5.3572577e-05 |
| 9,574 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
5.3137102e-05 |
| 9,791 |
Threshold Queries in Theory and in the Wild |
2022 |
VLDB |
5.2719963e-05 |
| 9,843 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
5.2617062e-05 |
| 9,872 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
5.2547389e-05 |
| 9,873 |
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation |
2025 |
VLDB |
5.2547389e-05 |
| 9,884 |
Scalable and Usable Relational Learning With Automatic Language Bias |
2021 |
SIGMOD |
5.2508963e-05 |
| 9,945 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
5.2307558e-05 |