314 citations · 444 across the 20 of their papers we have counts for
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cs.LG2020★ 2 cited
Learning the Markov order of paths in a network
Luka V. Petrović, Ingo Scholtes
We study the problem of learning the Markov order in categorical sequences that represent paths in a network, i.e. sequences of variable lengths where transitions between states ar…
cs.LG2020★ 8 cited
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
Christoph Gote, Giona Casiraghi, Frank Schweitzer +1
We propose a novel sequence prediction method for sequential data capturing node traversals in graphs. Our method builds on a statistical modelling framework that combines multiple…