PIGO is a library built to assist you with common sparse graph or matrix input, output, and preprocessing. It supports easily loading a variety of graph formats rapidly in parallel, performing standard preprocessing, and saving results and intermediate representations.
PIGO is built in C++ and its releases are single header-only files. It is designed to be simple to integrate into many projects.
First, download the PIGO release pigo.hpp. To compile a PIGO
application, you'll need to use OpenMP and ensure pigo.hpp is in
a directory where the compiler can find it.
Here we provide a simple example program. Create the file example.cpp in
the same directory as pigo.hpp. Add the following to it:
#include "pigo.hpp"
#include <iostream>
using namespace std;
using namespace pigo;
int main(int argc, char** argv) {
if (argc != 1) {
cerr << "Usage: " << argv[0] << " filename" << endl;
return 1;
}
Graph g { argv[1] };
cout << "number of vertices: " << g.n() << endl;
cout << "number of edges: " << g.m() << endl;
cout << "vertex 0's neighbors:\n";
for (auto n : g.neighbors(0))
cout << n << endl;
return 0;
}Finally, compile the program with
g++ -O3 -o example example.cpp -fopenmp.
You can now run the example program to print out the size of the graph and the neighbors of vertex 0.
For example, create the file toy.el:
0 4
4 3
0 5
0 9
./example toy.el should now print:
number of vertices: 10
number of edges: 4
vertex 0's neighbors:
4
5
9
Additionally run pip install -r docs/requirements.txt for python dependencies in the project root.
Now running make docs in build directory will create documentations under build/docs/sphinx
Unit tests are controlled using CMake. To use them, you will need a modern
version of CMake. You can do the following: cd build; cmake ..; ctest.
Please see LICENSE.md for the license.
For questions or support please either open an issue or contact tdalab@cc.gatech.edu.