We compute zeroshot relevance score in the KG embeddings space, thus allowing for robust prediction for KG entities and domains unseen during training as well.
we use the supervised hinge rank loss for KG embeddings prediction as a choice of L f , defined for each sample (Moon and Carbonell, 2017).