These dense representation models for link prediction include tensor factorization [Nickel et al., 2011, Socher et al., 2013, algebraic operations [Bordes et al., 2011, 2013b, Dasgupta et al., 2018, multiple embeddings [Wang et al., 2014, Lin et al., 2015, Ji et al., 2015, Zhang et al., 2018, and complex neural models [Dettmers et al., 2018, Nguyen et al., 2018.
there are only a few studies [Kadlec et al., 2017, Sharma et al., 2018 that investigate the quality of the different KG models.