GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra
Summary: GraphMineSuite (GMS) is the first graph-mining benchmark suite with a literature-grounded spec and a modular platform hosting 40+ parallel baselines. Its set-algebra design enables fast, modular mining; a throughput metric shows gains: degeneracy >2x, maximal clique >9x, subgraph isomorphism ~2.5x. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Maciej Besta (ETH Zurich)
- 2. Zur Vonarburg-Shmaria (ETH Zurich)
- 3. Yannick Schaffner (ETH Zurich)
- 4. Leonardo Schwarz (ETH Zurich)
- 5. Grzegorz Kwasniewski (ETH Zurich)
- 6. Lukas Gianinazzi (ETH Zurich)
- 7. Jakub Beranek (VSB - Technical University of Ostrava)
- 8. Kacper Janda (AGH University of Science and Technology)
- 9. Tobias Holenstein (ETH Zurich)
- 10. Sebastian Leisinger (ETH Zurich)
- 11. Peter Tatkowski (ETH Zurich)
- 12. Esref Ozdemir (ETH Zurich)
- 13. Adrian Balla (ETH Zurich)
- 14. Marcin Copik (ETH Zurich)
- 15. Philipp Lindenberger (ETH Zurich)
- 16. Marek Konieczny (AGH University of Science and Technology)
- 17. Onur Mutlu (ETH Zurich)
- 18. Torsten Hoefler (ETH Zurich)
BibTeX Citation
@article{besta_vldb21,
title = {{GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra}},
author = {Besta, Maciej and Vonarburg-Shmaria, Zur and Schaffner, Yannick and Schwarz, Leonardo and Kwasniewski, Grzegorz and Gianinazzi, Lukas and Beranek, Jakub and Janda, Kacper and Holenstein, Tobias and Leisinger, Sebastian and Tatkowski, Peter and Ozdemir, Esref and Balla, Adrian and Copik, Marcin and Lindenberger, Philipp and Konieczny, Marek and Mutlu, Onur and Hoefler, Torsten},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {11},
pages = {1922--1936},
doi = {10.14778/3476249.3476252},
url = {https://doi.org/10.14778/3476249.3476252},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,102 | The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 211 | EmptyHeaded: A Relational Engine for Graph Processing | 2016 | SIGMOD | 0.00024797217 |
| 232 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.00023830978 |
| 389 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB | 0.00019386526 |
| 485 | TurboISO: Towards UltraFast and Robust Subgraph Isomorphism Search in Large Graph Databases | 2013 | SIGMOD | 0.00017717377 |
| 825 | K-Core Decomposition of Large Networks on a Single PC | 2016 | VLDB | 0.00013779895 |
| 1,300 | An Experimental Comparison of Pregel-like Graph Processing Systems | 2014 | VLDB | 0.00011258552 |
| 2,112 | Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions | 2018 | SIGMOD | 9.1514258e-05 |
| 2,288 | Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU | 2020 | VLDB | 8.8025299e-05 |
| 2,522 | Fractal: A General-Purpose Graph Pattern Mining System | 2019 | SIGMOD | 8.4713567e-05 |
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