This repository contains the code for the algorithms presented in
Matteo Riondato, David García-Soriano, Francesco Bonchi, "Graph Summarization with Quality Guarantees", Data Mining and Knowledge Discovery (to appear), PDF
(Conference version: Matteo Riondato, David García-Soriano, Francesco Bonchi, "Graph Summarization with Quality Guarantees", Proceedings of IEEE International Conference on Data Mining 2014 (ICDM'14), PDF)
Everything in this repository is distributed under the Apache License, version 2.0. See the LICENSE file and the NOTICE file.
For any question or to point out bugs, please contact Matteo Riondato riondato@acm.org.
To compile the code, just run make. The code is tested on a GNU/Linux system
using the GNU g++ compiler, version 4.9. It requires the SDPA
libraries, and the MUMPS
libraries (sequential version).
The "summ" binary is the algorithm for graph summarization described in the
article. See the output of ./summ -h for help about using it.
A typical usage example would be:
./summ -a -k 100 -t 2 -d -1 edge_file.txt
The "grass" binary is the algorithm for graph summarization by LeFevre and
Terzi. See the output of ./summ -h for help about using it.
A typical usage example would be:
./grass -a -k 100 -t 2 -c 0.75 edge_file.txt