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Siqi Peng1, Akihiro Yamamoto1, Kimihito Ito2
1Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan.
这项研究引入了一种新的双边链路预测方法,使用负样本选择的矩阵因子分解. 我们的方法通过选择可靠的负训练样本来提高准确性,优于现有的无监督方法.
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