| 4 |
Pregel: A System for Large-Scale Graph Processing |
2010 |
SIGMOD |
0.0019005923 |
| 22 |
SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets |
2008 |
VLDB |
0.0008456613 |
| 66 |
Spark SQL: Relational Data Processing in Spark |
2015 |
SIGMOD |
0.00061639801 |
| 113 |
Encapsulation of Parallelism in the Volcano Query Processing System |
1990 |
SIGMOD |
0.00046764513 |
| 248 |
Eager Aggregation and Lazy Aggregation |
1995 |
VLDB |
0.00030785339 |
| 444 |
Parallelizing Sequential Graph Computations |
2017 |
SIGMOD |
0.00022987918 |
| 454 |
An Overview of Query Optimization in Relational Systems |
1998 |
PODS |
0.00022734812 |
| 651 |
Efficient Subgraph Matching on Billion Node Graphs |
2012 |
VLDB |
0.00018648572 |
| 1,015 |
Spanner: Becoming a SQL System |
2017 |
SIGMOD |
0.00014638696 |
| 1,328 |
Hypertree Decompositions: Questions and Answers |
2016 |
PODS |
0.00012565612 |
| 1,924 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00010077055 |
| 1,939 |
From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System |
2015 |
SIGMOD |
0.00010025655 |
| 1,953 |
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal Low-Memory Dataflows |
2018 |
VLDB |
9.9665955e-05 |
| 2,162 |
Scalable Subgraph Enumeration in MapReduce |
2015 |
VLDB |
9.3964337e-05 |
| 2,212 |
Skew in Parallel Query Processing |
2014 |
PODS |
9.2771827e-05 |
| 2,529 |
Pregelix: Big(ger) Graph Analytics on A Dataflow Engine |
2015 |
VLDB |
8.5940768e-05 |
| 2,709 |
Vertexica: Your Relational Friend for Graph Analytics! |
2014 |
VLDB |
8.2530203e-05 |
| 2,801 |
Scalable Distributed Subgraph Enumeration |
2017 |
VLDB |
8.0992955e-05 |
| 2,849 |
A Worst-Case Optimal Multi-Round Algorithm for Parallel Computation of Conjunctive Queries |
2017 |
PODS |
8.0195487e-05 |
| 2,997 |
Subgraph Matching: on Compression and Computation |
2018 |
VLDB |
7.7559339e-05 |
| 3,200 |
Big Data Analytics with Datalog Queries on Spark |
2016 |
SIGMOD |
7.3912411e-05 |
| 3,215 |
Fractal: A General-Purpose Graph Pattern Mining System |
2019 |
SIGMOD |
7.3645742e-05 |
| 3,443 |
Distributed Join Algorithms on Thousands of Cores |
2017 |
VLDB |
7.0887214e-05 |
| 3,988 |
All-in-One: Graph Processing in RDBMSs Revisited |
2017 |
SIGMOD |
6.5589605e-05 |
| 4,061 |
Advanced Partitioning Techniques for Massively Distributed Computation |
2012 |
SIGMOD |
6.483587e-05 |
| 4,556 |
Distributed Subgraph Matching on Timely Dataflow |
2019 |
VLDB |
6.0883757e-05 |
| 4,708 |
Instance and Output Optimal Parallel Algorithms for Acyclic Joins |
2019 |
PODS |
5.980172e-05 |
| 5,009 |
HUGE: An Efficient and Scalable Subgraph Enumeration System |
2021 |
SIGMOD |
5.761237e-05 |
| 5,017 |
TurboGraph++: A Scalable and Fast Graph Analytics System |
2018 |
SIGMOD |
5.7574792e-05 |
| 6,673 |
Incorporating Super-Operators in Big-Data Query Optimizers |
2020 |
VLDB |
4.966799e-05 |
| 8,432 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
4.5153924e-05 |
| 9,282 |
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing |
2016 |
SIGMOD |
4.3634964e-05 |