| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 203 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034868567 |
| 341 |
EmptyHeaded: A Relational Engine for Graph Processing |
2016 |
SIGMOD |
0.00026850764 |
| 460 |
Graphs-at-a-time: Query Language and Access Methods for Graph Databases |
2008 |
SIGMOD |
0.00022679846 |
| 606 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019251186 |
| 616 |
Taming Verification Hardness: An Efficient Algorithm for Testing Subgraph Isomorphism |
2008 |
VLDB |
0.00019068362 |
| 752 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.00017138049 |
| 804 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001643674 |
| 941 |
Wander Join: Online Aggregation via Random Walks |
2016 |
SIGMOD |
0.00015147831 |
| 1,125 |
Efficient Subgraph Matching by Postponing Cartesian Products |
2016 |
SIGMOD |
0.00013829006 |
| 1,194 |
Join Size Estimation Subject to Filter Conditions |
2015 |
VLDB |
0.00013411666 |
| 1,239 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013091459 |
| 1,322 |
Hypertree Decompositions: Questions and Answers |
2016 |
PODS |
0.00012595941 |
| 1,334 |
Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins |
2019 |
VLDB |
0.00012543633 |
| 1,372 |
Random Sampling over Joins Revisited |
2018 |
SIGMOD |
0.0001233325 |
| 1,452 |
What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another? |
2017 |
PODS |
0.00011922523 |
| 1,522 |
Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together |
2019 |
SIGMOD |
0.0001152219 |
| 1,528 |
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank |
2020 |
VLDB |
0.00011489661 |
| 1,715 |
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching |
2019 |
SIGMOD |
0.00010776518 |
| 1,906 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00010135267 |
| 1,948 |
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal Low-Memory Dataflows |
2018 |
VLDB |
9.9938634e-05 |
| 2,143 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
9.4437798e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.955077e-05 |
| 2,494 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
8.6457436e-05 |
| 2,971 |
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models |
2017 |
VLDB |
7.7935535e-05 |
| 3,144 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
7.4844943e-05 |
| 3,412 |
Motivo: fast motif counting via succinct color coding and adaptive sampling |
2019 |
VLDB |
7.1194524e-05 |
| 3,644 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
6.8842065e-05 |