Distance-based knowledge graph embeddings have shown substantial improvement on the knowledge graph link prediction task, from TransE to the latest state-of-the-art RotatE.
we examine the proposed model in terms of the following aspects: Impact of sub-embedding dimension: we fix the embedding dimension as 400, and increasewe examine the proposed model in terms of the following aspects: Impact of sub-embedding dimension: we fix the embedding dimension as 400, and increase the subembedding dimension d s from 2 to 20, the MRR of OTE is improved from 0.327 to 0.355 (See Row 3 and Row 4).3 and Row 4).