基于翻译模型的异质重边信息网络链路预测研究
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郑建兴,李沁文,王素格,李德玉
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Research of link prediction based on translation model in heterogeneous multi⁃edge information network
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Jianxing Zheng,Qinwen Li,Suge Wang,Deyu Li
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表2 不同方法在单一、多元关系下的粗糙结果
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Table 2 Raw results of different methods under single and multi?edge relationdships
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Method | MRR | MR | Hits@5 | Hits@3 | Hits@1 |
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TransE | 0.0526 | 59.1370 | 0.0437 | 0.0136 | 0.0045 | TransH | 0.0613 | 55.5030 | 0.0738 | 0.0271 | 0.0030 | TransR | 0.0642 | 60.6901 | 0.0744 | 0.0372 | 0.0041 | TransD | 0.0711 | 49.8524 | 0.0723 | 0.0331 | 0.0075 | TransE+Mule | 0.7225 | 3.9593 | 0.9292 | 0.8524 | 0.5633 | TransH+Mule | 0.7132 | 7.3630 | 0.9057 | 0.8530 | 0.5627 | TransR+Mule | 0.7007 | 7.3991 | 0.9006 | 0.8298 | 0.5459 | TransD+Mule | 0.7071 | 10.3912 | 0.9029 | 0.8254 | 0.5431 | TransHME | 0.7511 | 7.4473 | 0.9322 | 0.8434 | 0.6250 |
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