基于圖注意力機制的復雜網(wǎng)絡關(guān)鍵節(jié)點識別

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中圖分類號：0157.5 文獻標識碼：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

復雜網(wǎng)絡是一種由大量節(jié)點和連邊構(gòu)成的復雜系統(tǒng)，具有自組織、自相似、小世界等特征，能夠描述許多自然界和人工系統(tǒng)中的現(xiàn)象和規(guī)律[1]。（剩余9340字）