Since logical connections between relations are modeled explicitly, such approaches are generally hard to scale.
we present two techniques for injecting logical background knowledge, pre-factorization inference ( §3.1) and joint optimization ( §3.2), and demonstrate in subsequent sections that they generalize better than direct logical inference, even if such inference is performed on the predictions of the matrix factorization model.