首页|Studies from Yunnan University Provide New Data on Computational Intelligence (N ode Clustering On Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy)
Studies from Yunnan University Provide New Data on Computational Intelligence (N ode Clustering On Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Compu tational Intelligence are presented in a newreport. According to news reporting originating from Kunming, People’s Republic of China, by NewsRx correspondents,research stated, “Contrastive representation learning has been widely employed in attributedgraph clustering and has demonstrated significant success. However , these methods have two problems:1)According to an assumption that clusters ar e formed around a minority of central anchor nodes, the contrastive relationship s between these anchors are not explored in previous works. 2)They fail to deal withbiased sample pairs, which may degrade the representation quality and cause poor clustering performance.”
KunmingPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningYunnan University
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