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- W2293818171 abstract "A key feature of ProPPR, a recent probabilistic logic language inspired by stochastic logic programs (SLPs), is its use of personalized PageRank for efficient inference. We adopt this view of probabilistic inference as a random walk over a graph constructed from a labeled logic program to investigate the relationship between these two languages, showing that the differences in semantics rule out direct, generally applicable translations between them." @default.
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- W2293818171 date "2015-01-01" @default.
- W2293818171 modified "2023-09-25" @default.
- W2293818171 title "PageRank, ProPPR, and Stochastic Logic Programs" @default.
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- W2293818171 doi "https://doi.org/10.1007/978-3-319-23708-4_12" @default.
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