Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function

By |2019-07-09T15:57:49+02:00July 9th, 2019|

Abstract Translation-based embedding models have gained significant attention in link prediction tasks for knowledge graphs. TransE is the primary model among translation-based embeddings and is well-known for its low complexity and high efficiency. Therefore, most of the earlier works have modified the score function of the TransE approach in order to improve the performance [...]