PageRank, ProPPR and Stochastic Logic Programs
Authors: Dries Van Daele, Angelika Kimmig and Luc De Raedt
Paper Information
| Title: | PageRank, ProPPR and Stochastic Logic Programs |
| Authors: | Dries Van Daele, Angelika Kimmig and Luc De Raedt |
| Proceedings: | PLP 2014 Proceedings |
| Editor: | Nicos Angelopoulos |
| Keywords: | Stochastic Logic Programs, ProPPR, personalized PageRank, mapping probabilistic logic languages |
| Abstract: | ABSTRACT. ProPPR is a recently introduced probabilistic logic programming language inspired by stochastic logic programs that uses personalized PageRank for efficient inference. We clarify the link between these two frameworks by mapping the personalized PageRank distribution of a ProPPR program to an incomplete stochastic logic program and showing that the resulting programs induce the same probability distribution over queries. |
| Pages: | 0 |
| Talk: | Jul 17 09:50 |
| Paper: |  |