Research Article
Multiview Translation Learning for Knowledge Graph Embedding
Table 5
Experimental results of WN18 by mapping properties of relations.
| Tasks (kā=ā35) | Predicting head | Predicting tail | 1-to-1 | 1-to-N | N-to-1 | N-to-N | 1-to-1 | 1-to-N | N-to-1 | N-to-N |
| Global-view | Hits@10 (%) | 90.5/90.5 | 91.9/92.7 | 56.0/87.6 | 85.7/89.7 | 92.9/93.2 | 54.5/86.9 | 94.1/94.2 | 84.6/88.6 | (Raw/Filt) | Mean rank | 12/12 | 158/158 | 228/198 | 217/216 | 35/35 | 258/228 | 132/132 | 227/225 | Local-view | Hits@10 (%) | 71.4/71.4 | 91.8/92.0 | 70.3/86.8 | 94.6/95.0 | 71.4/71.4 | 78.4/91.7 | 84.4/84.4 | 94.3/94.8 | (Raw/Filt) | Mean rank | 97/97 | 23/23 | 72/61 | 22/21 | 177/177 | 44/33 | 67/67 | 23/23 | Multiview | Hits@10 (%) | 90.5/90.5 | 94.2/94.3 | 76.1/94.2 | 95.0/95.4 | 92.9/93.9 | 79.8/93.9 | 94.1/94.2 | 94.8/95.2 | (Raw/Filt) | Mean rank | 8/8 | 12/11 | 47/34 | 39/38 | 20/19 | 44/31 | 14/14 | 23/22 |
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The bold values stand for the best performance in the corresponding metric.
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