1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2022
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…
cs.SI2019★ 1 cited
Counting Causal Paths in Big Times Series Data on Networks
Luka V. Petrovic, Ingo Scholtes
Graph or network representations are an important foundation for data mining and machine learning tasks in relational data. Many tools of network analysis, like centrality measures…