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Neural Markov Logic Networks
[article]
2020
arXiv
pre-print
We introduce neural Markov logic networks (NMLNs), a statistical relational learning system that borrows ideas from Markov logic. Like Markov logic networks (MLNs), NMLNs are an exponential-family model for modelling distributions over possible worlds, but unlike MLNs, they do not rely on explicitly specified first-order logic rules. Instead, NMLNs learn an implicit representation of such rules as a neural network that acts as a potential function on fragments of the relational structure.
arXiv:1905.13462v3
fatcat:vxixxxzo7nekfp3xjloatvwv3y