https://github.com/spcl/gms

GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning
https://github.com/spcl/gms

Last synced: 9 months ago
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GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning

• Host: GitHub
• URL: https://github.com/spcl/gms
• Owner: spcl
• License: mit
• Created: 2021-05-17T09:23:27.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-06-11T09:04:40.000Z (over 4 years ago)
• Last Synced: 2025-03-22T19:45:49.755Z (10 months ago)
• Language: C++
• Size: 1.37 MB
• Stars: 26
• Watchers: 11
• Forks: 7
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# gms

GraphMineSuite (GMS): a benchmarking suite for graph mining.

This repository contains the code for GraphMineSuite (GMS).

GMS is a benchmarking suite for graph mining that facilitates evaluating and constructing high-performance parallel graph mining algorithms such as graph pattern matching or graph learning. It comes with a benchmark specification and offers a modular set algebra based approach to graph representations, set representations, preprocessing routines and algorithmic subroutines.

This public repo will only contain main releases. We will not actively push updates.

The GMS website: https://graphminesuite.spcl.inf.ethz.ch/

The GMS docs: https://graphminesuite.spcl.inf.ethz.ch/docs/

GMS is featured in PVLDB vol 14; if you use GMS, cite us:

```

@inproceedings{GMS,

  author    = {M. Besta, Z. Vonarburg-Shmaria, Y. Schaffner, L. Schwarz, G. Kwasniewski, L.Gianinazzi, J. Beránek, K. Janda, T. Holenstein, S. Leisinger, P. Tatkowski, E. Ozdemir, A. Balla,M. Copik, P. Lindenberger, P. Kalvoda, M. Konieczny, O. Mutlu, T. Hoefler},

  title     = {GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra},

  year      = {2021},

  booktitle = {Proceedings of the 47th International Conference on Very Large Data Bases},

}

```