Following this idea, we first present the model details, then discuss the optimization techniques for training.
energy function we stack all the concept projection matrices to a 3-dimensional tensor D ∈ R m×n×n , where m is the pre-specified number of concept projection matrices and n is the dimensionality of entity embeddings and relation embeddings.