with some machine learning features. The main features are as follows:
* Directed, undirected and multigraphs designed under a hierarchical
class structure
* Sparse and Dense graph structures using numpy and scipy for fast linear
algebra computations
* Many operations on graphs such as subgraphs, search, Floyd-Warshall,
Dijkstras algorithm
* Erdos-Renyi, Small-World and Albert-Barabasi random graphs
* Write to Pajek, and simple CSV files
* Some machine learning features - data preprocessing, kernels, PCA, KCCA,
wrappers for LibSVM, and some mlpy learning algorithms
* Unit tested using the Python unittest framework
WWW: http://packages.python.org/apgl/
