This repository contains a reference implementation of our SIGMOD 2024 paper (link to paper):

Graph Summarization: Compactness Meets Efficiency. Deming Chu, Fan Zhang, Wenjie Zhang, Ying Zhang, Xuemin Lin. SIGMOD 2024.

Note: If there is any issue, please contact ned.deming.chu@gmail.com

Please cite our paper if you use the code:

@article{chu2024graph,
  title={Graph Summarization: Compactness Meets Efficiency},
  author={Chu, Deming and Zhang, Fan and Zhang, Wenjie and Zhang, Ying and Lin, Xuemin},
  journal={Proceedings of the ACM on Management of Data},
  volume={2},
  number={3},
  pages={1--26},
  year={2024},
  publisher={ACM New York, NY, USA}
}

• G++
• CMake
• OpenMP

Build with the code below in the project folder.

mkdir build
cd build
cmake ..
make -j

After that, you will get four executable programs.

• mags: serial implementation of Mags
• mags_dm: serial implementation of Mags-DM
• pmags: parallel implementation of Mags
• pmags_dm: parallel implementation of Mags-DM

The serial implementation (mags and mags_dm) requires one parameter.

1. the input graph file path.

The parallel implementation (pmags and pmags_dm) requires 1-2 parameters.

1. the input graph file path.
2. the number of thread (optional, 40 by default)

Input graph: undirected graph; no self-loop; one edge in each line.

The source code of our algorithms is under ./src:

• util.h, util.cpp, global.h: some helping functions and definitions
• graph.h, graph.cpp: graph data structures
• gsum.h, gsum.cpp: serial graph summarization algorithms
• pgsum.h, pgsum.cpp: parallel graph summarization algorithms
• /parallel_hashmap: a hash map implementation (see greg7mdp/parallel-hashmap)

The main programs that runs the algorithms are under ./run