Counting Causal Paths in Big Times Series Data on Networks. - Luka V. Petrovic; Ingo Scholtes (CoRR, 2019)

Learning the Markov order of paths in a network. - Luka V. Petrovic; Ingo Scholtes (CoRR, 2020)

Analysis and Visualisation of Time Series Data on Networks with Pathpy. - Jürgen Hackl; Ingo Scholtes; Luka V. Petrovic; Vincenzo Perri; Luca Verginer; Christoph Gote (WWW (Companion Volume), 2021)

PaCo: Fast Counting of Causal Paths in Temporal Network Data. - Luka V. Petrovic; Ingo Scholtes (WWW (Companion Volume), 2021)

Learning the Markov Order of Paths in Graphs. - Luka V. Petrovic; Ingo Scholtes (WWW, 2022)

Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs. - Luka V. Petrovic; Vincenzo Perri (CoRR, 2023)

Higher-Order Patterns Reveal Causal Timescales of Complex Systems. - Luka V. Petrovic; Anatol E. Wegner; Ingo Scholtes (CoRR, 2023)

Bayesian inference of transition matrices from incomplete graph data with a topological prior. - Vincenzo Perri; Luka V. Petrovic; Ingo Scholtes (EPJ Data Sci., 2023)