Graph Multi-Convolution and Attention Pooling for Graph Classification

Many studies have achieved excellent performance in analyzing graph-structured data. However, learning graph-level representations for graph classification is still a challenging task. Existing graph classification methods usually pay less attention to the fusion of node features and ignore the effe...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 14. Dez., Seite 10546-10557
Auteur principal:	Xu, Yuhua (Auteur)
Autres auteurs:	Wang, Junli, Guang, Mingjian, Jiang, Changjun
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article