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3 不同方法在单一、多元关系下的过滤结果
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Table 3 Filtered 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 | 0.1594 | 46.7319 | 0.2199 | 0.1521 | 0.0693 | TransH | 0.1617 | 44.2139 | 0.2349 | 0.1536 | 0.0693 | TransR | 0.1511 | 49.3733 | 0.2149 | 0.1501 | 0.0550 | TransD | 0.1791 | 39.1973 | 0.2304 | 0.1611 | 0.0889 | TransE+Mule | 0.7837 | 3.6235 | 0.9458 | 0.8961 | 0.6581 | TransH+Mule | 0.7707 | 6.9187 | 0.9252 | 0.8946 | 0.6416 | TransR+Mule | 0.7682 | 6.8976 | 0.9247 | 0.8675 | 0.6521 | TransD+Mule | 0.7663 | 9.8554 | 0.9230 | 0.8698 | 0.6409 | TransHME | 0.8190 | 7.0512 | 0.9503 | 0.8946 | 0.7304 |
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