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A python interface for decompressing Boldi-Vigna graphs

Project description

This library implements a decoder for a Boldi-Vigna graph structure, a highly compressed means of storing web-graphs. The library is written in pure C. It includes a Python interface, and a means to implement multi-threaded graph algorithms.


  • In-memory and on-disk graph storage
  • Sequential iteration over graph edges
  • Parallel iteration over graph edges
  • random access to graph edges


  1. Compile the C library:

  2. Compile the Cython source code(Cython is assumed to have installed):

    python build_ext --inplace
  3. To clean the library:

    python clean
    make clean


To use the library in Python code:

import bvg
G = bvg.BVGraph('wb-cs.stanford', 0) # sequential scan
print 'nodes = ' + str(G.nverts)
print 'edges = ' + str(G.nedges)
edges_and_degrees = G.edges_and_degrees()
for (src, dst, degree) in edges_and_degrees:
    print 'node ' + str(src) + ' has degree ' + str(degree)
    print 'edge: ' + str(src) + ' -> ' + str(dst)


GPL version 2.

Copyright by David F. Gleich, 2007-2014

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