pathpy / pathpyG

GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
https://www.pathpy.net
GNU Affero General Public License v3.0
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Implement Bayesian Model Selection from WWW'22 paper #196

Open IngoScholtes opened 2 months ago

IngoScholtes commented 2 months ago

The task would be to implement, test, and evaluate the Bayesian model selection procedure described in the following paper:

Luka V. Petrovic and Ingo Scholtes. 2022. Learning the Markov Order of Paths in Graphs. In Proceedings of the ACM Web Conference 2022 (WWW '22). Association for Computing Machinery, New York, NY, USA, 1559–1569. https://doi.org/10.1145/3485447.3512091

Additionally, a comparison to the currently implemented (frequentist) model selection should be performed.