# Linear Work Generation of R-MAT Graphs

arXiv: https://arxiv.org/abs/1905.03525 · HTML: https://mlsanity.com/paper/1905.03525/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 May 2019.

## Built on by (most cited first, 1 of 1)

- [SMASH: Sparse Matrix Atomic Scratchpad Hashing](https://mlsanity.com/paper/2105.14156/) (2021)

## Abstract (arXiv)

R-MAT is a simple, widely used recursive model for generating `complex network' graphs with a power law degree distribution and community structure. We make R-MAT even more useful by reducing the required work per edge from logarithmic to constant. The algorithm works in an embarrassingly parallel way.
