Best network structure for unsupervised learning Currently using networkX to build a probability based network for unsupervised learning, it is a basic reader understanding relational connectivity through probabilities, network slows significantly after about 40 pages (8000 words) any suggestions for a better network platform would be much appreciated.
You are describing a problem that can be solved with Probabilistic Graphical Models (PGMs). PGMs use graphs to expresses the conditional dependence structure between random variables.  

pgmpy is a Python package for PGMs.