The TransE model represents each relation r by a translation vector r ∈ R k , which is chosen so that h + r ≈ t. The primary contribution of this paper is that two very simple relation-prediction models, SE and TransE, can be combined into a single model, which we call STransE.
we use relationspecific matrices W r,1 and W r,2 as in the SE model to identify the relation-dependent aspects of both h and t, and use a vector r as in the TransE model to describe the relationship between h and t in this subspace.