Generating Flexible Workloads for Graph Databases
Summary: gMark is the first domain- and query-language-independent framework for synthetic graph and workload generation. It delivers fine-grained schema-driven control, supports recursive queries, provides selectivity estimation; benchmarks four graph engines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guillaume Bagan (CNRS)
- 2. Angela Bonifati (CNRS; University of Lyon)
- 3. Radu Ciucanu (University of Oxford)
- 4. George H. L. Fletcher (Eindhoven University of Technology)
- 5. Aurélien Lemay (INRIA; University of Lille)
- 6. Nicky Advokaat (Eindhoven University of Technology)
BibTeX Citation
@article{bagan_vldb16,
title = {{Generating Flexible Workloads for Graph Databases}},
author = {Bagan, Guillaume and Bonifati, Angela and Ciucanu, Radu and Fletcher, George H. L. and Lemay, Aurélien and Advokaat, Nicky},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
doi = {10.14778/3007263.3007283},
url = {https://doi.org/10.14778/3007263.3007283},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,322 | ZipG: A Memory-efficient Graph Store for Interactive Queries | 2017 | SIGMOD | 6.2659893e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 426 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00018692185 |
| 4,982 | Workload Matters: Why RDF Databases Need a New Design | 2014 | VLDB | 6.4127848e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,610 | Using Domain-Specific Languages For Analytic Graph Databases | 2016 | VLDB |
| 2 | 747 | Querying Graph Databases | 2013 | PODS |
| 3 | 938 | Flexible Database Generators | 2005 | VLDB |
| 4 | 7,769 | G-SQL: Fast Query Processing via Graph Exploration | 2016 | VLDB |
| 5 | 8,318 | Optimizing Declarative Graph Queries at Large Scale | 2019 | SIGMOD |
| 6 | 2,854 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD |
| 7 | 9,682 | Graph Data Models, Query Languages and Programming Paradigms | 2018 | VLDB |
| 8 | 4,025 | Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation | 2019 | VLDB |
| 9 | 11,067 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB |
| 10 | 294 | Graphs-at-a-time: Query Language and Access Methods for Graph Databases | 2008 | SIGMOD |