# rmat

**Repository Path**: bxtx/rmat

## Basic Information

- **Project Name**: rmat
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-07
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Linear Work R-MAT Generation

This is the companion repository for our R-MAT paper: *Hübschle-Schneider, L. & Sanders, P., 2020. Linear Work Generation of R-MAT Graphs. Network Science (NWS). To appear.* 

A [preprint](https://arxiv.org/abs/1905.03525) is freely available on the arXiv.

If you use this code in the context of an academic publication, we kindly ask that you cite our paper:
```bibtex
@article{HubSan2019RMAT,
  title={Linear Work Generation of {R-MAT} Graphs},
  author={H{\"u}bschle-Schneider, Lorenz and Sanders, Peter},
  journal={arXiv preprint arXiv:1905.03525},
  year={2019}
}
```

A cleaned-up version of the code, which is preferable for most users, is available at https://github.com/lorenzhs/rmat

To reproduce our experiments, compile using cmake and execute [benchmark/bench_all.sh](benchmark/bench_all.sh) from your build directory.

**[License](/LICENSE):** GPLv3