Query2box: Reasoning over KnowledgeGraphs in Vector Space using Box Embeddings
Table 4: Performance comparison on the simple link prediction task on the three datasets.
['Method', 'FB15k H@3', 'FB15k MRR', 'FB15k-237 H@3', 'FB15k-237 MRR', 'NELL995 H@3', 'NELL995 MRR']
We found that our query2box is comparable or slightly better than TransE on simple link prediction. Note that in the case of simple link prediction, we do not expect a huge performance gain by using box embeddings as link prediction does not involve logical reasoning nor handling a large set of answer entities. Also, we see that even if we train query2box over diverse queries, its performance on link prediction is still comparable to TransE and query2box-1p, which are trained solely on the link prediction task.