Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior

Vincenzo Perri, Luka V. Petrović, Ingo Scholtes

Many network analysis and graph learning techniques are based on models of random walks which require to infer transition matrices that formalize the underlying stochastic process…