MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
Table 5: Results of each individual term in MDE on WN18RR and FB15k-237. Best results are in bold.
['Individual Term', 'MR', '[BOLD] WN18RR MRR', 'Hit@10', 'MR', '[BOLD] FB15k-237 MRR', 'Hit@10']
We can see that S4 outperforms the other terms while S1 and S3 perform very similar on these two datasets. Between the four terms, S2 performs the worst since most of the relations in the test datasets follow an antisymmetric pattern and S2 is not efficient in modeling them.