Deep relational learning through differentiable logic programming.
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Updated
Aug 9, 2025 - Java
Deep relational learning through differentiable logic programming.
RelNN is a novel first-order deep neural model for relational learning.
The source code repository for the FactorBase system
Implementation of a learning and fragment-based rule inference engine -- M. Svatoš, S. Schockaert, J. Davis, and O. Kuželka: STRiKE: Rule-driven relational learning using stratified k-entailment, ECAI'20
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