KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

14 Sep 2017Alberto Garcia-DuranMathias Niepert

We present KBLRN, a framework for end-to-end learning of knowledge base representations from latent, relational, and numerical features. KBLRN integrates feature types with a novel combination of neural representation learning and probabilistic product of experts models... (read more)

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