The dominant paradigm in machine learning over the past two decades for representing such compositional probabilistic models has been graphical models 11, with variants including directed graphs ...

probability mass/density function, some formulation of regression, classification and clustering is beneficial. Graphs are among the most widely-used data structures in machine learning. Their power ...