基于图注意力机制的复杂网络关键节点识别

打开文本图片集

中图分类号：0157.5 文献标识码：A

Abstract：This study aims to address the problem of vital nodes identification in complex networks using graph attention mechanism. This paper integrates both node's virus transmissibility and structural impact，constructing training labels on the generated network to learn node importance through a graph attention network model. Experimental results demonstrate the excellence of this algorithm in two critical tasks： influence maximization and immune isolation.

Keywords： vital nodes identification; complex networks;influence maximization; virus transmission

0 引言

复杂网络是一种由大量节点和连边构成的复杂系统，具有自组织、自相似、小世界等特征，能够描述许多自然界和人工系统中的现象和规律[1]。（剩余9340字）