In most real situations a graph is likely to be a model with some expected characteristics or perhaps data regarding real situations. Either way with modern co

In most real situations a graph is likely to be a model with some expected characteristics or perhaps data regarding real situations. Either way with modern computing it seems like in many cases using machine learning to predict the path or next steps on the path might actually end up being a more optimal method. The issue is how much data and modeling is available and how any processing of that would best be accounted for in final results that make use of any analysis.