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 ...

A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting ...

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 ...