论文标题
图形卷积网络的过度光滑效果
Over-smoothing Effect of Graph Convolutional Networks
论文作者
论文摘要
过度光滑是一个严重的问题，它限制了图形卷积网络的深度。本文对图形卷积网络背后的机制进行了全面分析和过度光滑的效果。本文提出了用于出现过度光滑的上限，该界限可深入了解过度光滑的关键因素。本文介绍的结果成功地解释了减轻过度平滑算法的几种算法的可行性。
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.
