Knowledge Graph Representation withJointly Structural and Textual Encoding
Table 3: Detailed results by category of relationship on FB15K.
['Tasks Relation Category', 'Prediction Head (Hits@10) 1-to-1', 'Prediction Head (Hits@10) 1-to-N', 'Prediction Head (Hits@10) N-to-1', 'Prediction Head (Hits@10) N-to-N', 'Prediction Tail (Hits@10) 1-to-1', 'Prediction Tail (Hits@10) 1-to-N', 'Prediction Tail (Hits@10) N-to-1', 'Prediction Tail (Hits@10) N-to-N']
We can see that our models outperform baseline TransE in all types of relations (1-to-1, 1-to-N, N-to-1 and N-to-N), especially when (1) predicting “1-to-1” relations and (2) predicting the 1 side for “1-to-N” and “N-to-1” relations.