While MatlabBGL uses the Boost Graph Library for efficient graph routines, gaimc implements everything in pure Matlab code. While the routines are
slower, they aren't as slow as I initially thought. Since people often have problems getting MatlabBGL to compile on new versions of Matlab or on new architectures, this library is then a complement to MatlabBGL.
See the published M-files for a few examples of the capabilities.
Functions
depth first search (dfs)
breadth first search (bfs)
connected components (scomponents)
maximum weight bipartite matching (bipartite_matching)
Dijkstra's shortest paths (dijkstra)
Prim's minimum spanning tree (mst_prim)
clustering coefficients (clustercoeffs)
directed clustering coefficients (dirclustercoeffs)
core numbers (corenums)
The project is maintained at github : http://github.com/dgleich/gaimc/tree/master
