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arXiv · 2201.12830

Over-smoothing Effect of Graph Convolutional Networks

Fang Sun
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Abstract

Over-smoothing is a severe problem which limits the depth of Graph Convolutional Networks. This article gives a comprehensive analysis of the mechanism behind Graph Convolutional Networks and the over-smoothing effect. The article proposes an upper bound for the occurrence of over-smoothing, which offers insight into the key factors behind over-smoothing. The results presented in this article successfully explain the feasibility of several algorithms that alleviate over-smoothing.

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Fang Sun. 2022-01-30. Over-smoothing Effect of Graph Convolutional Networks. https://arxiv.org/abs/2201.12830

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