论文标题

大图上的半监督学习:泊松在学习改变游戏规则的人吗?

Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?

论文作者

Nguyen, Canh Hao

论文摘要

我们在基于图的半监督学习中解释了泊松学习,以查看它是否可以避免全球信息损失问题作为基于拉普拉斯的大图上的学习方法。从我们的分析中,泊松学习只是带有阈值的拉普拉斯正规化,无法克服问题。

We explain Poisson learning on graph-based semi-supervised learning to see if it could avoid the problem of global information loss problem as Laplace-based learning methods on large graphs. From our analysis, Poisson learning is simply Laplace regularization with thresholding, cannot overcome the problem.

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