Bilinear models such as DistMult and ComplEx are effective methods for knowledge graph (KG) completion.
in our preliminary experiments on baselines, we found that the choice of loss function had a large effect on performance, with negative log-likelihood (NLL) of softmax consistently outperforming both max-margin and logistic losses.