基于深度学习的知识表示研究:网络视角*
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余传明,李浩男,王曼怡,黄婷婷,安璐
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Knowledge Representation Based on Deep Learning:Network Perspective
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Chuanming Yu,Haonan Li,Manyi Wang,Tingting Huang,Lu An
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表9 不同模型融合方式完成链接预测任务的部分实验结果(分类结果融合)
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Table 9 Partial Experimental Results of Link Prediction Tasks with Different Model Fusion Methods (Classification Result Fusion)
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| | | Precision | Recall | F1 | AUC | 0.0 | 0.0 | 1.0 | 0.50 | 0.90 | 0.64 | 0.898 | 0.0 | 0.5 | 0.5 | 0.54 | 0.93 | 0.68 | 0.925 | 0.0 | 1.0 | 0.0 | 0.55 | 0.93 | 0.69 | 0.928 | 0.1 | 0.0 | 0.9 | 0.51 | 0.91 | 0.65 | 0.905 | 0.1 | 0.5 | 0.4 | 0.55 | 0.93 | 0.69 | 0.929 | 0.2 | 0.0 | 0.8 | 0.52 | 0.91 | 0.66 | 0.911 | 0.2 | 0.5 | 0.3 | 0.56 | 0.94 | 0.70 | 0.932 | 0.3 | 0.0 | 0.7 | 0.53 | 0.91 | 0.67 | 0.916 | 0.3 | 0.5 | 0.2 | 0.57 | 0.94 | 0.71 | 0.934 | 0.3 | 0.6 | 0.1 | 0.57 | 0.94 | 0.71 | 0.935 | 0.4 | 0.0 | 0.6 | 0.53 | 0.91 | 0.67 | 0.920 | 0.4 | 0.5 | 0.1 | 0.58 | 0.94 | 0.72 | 0.935 | 0.5 | 0.0 | 0.5 | 0.54 | 0.92 | 0.68 | 0.922 | 0.5 | 0.5 | 0.0 | 0.58 | 0.94 | 0.72 | 0.934 | 0.6 | 0.0 | 0.4 | 0.55 | 0.92 | 0.69 | 0.924 | 0.7 | 0.0 | 0.3 | 0.56 | 0.92 | 0.70 | 0.926 | 0.7 | 0.1 | 0.2 | 0.57 | 0.93 | 0.70 | 0.928 | 0.8 | 0.0 | 0.2 | 0.57 | 0.92 | 0.70 | 0.926 | 0.9 | 0.0 | 0.1 | 0.57 | 0.92 | 0.70 | 0.925 | 1.0 | 0.0 | 0.0 | 0.57 | 0.92 | 0.70 | 0.924 |
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