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In signed social networks, link sign prediction refers to using the observed link signs to infer the signs of the remaining links, which is important for mining and analyzing the evolution of social networks. The widely used matrix factorization-based approach – Bayesian Probabilistic Matrix Factorization (BMF), assumes that the noise between the real and predicted entry is Gaussian noise, and the...
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