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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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 14. Dez., Seite 10546-10557
1. Verfasser:	Xu, Yuhua (VerfasserIn)
Weitere Verfasser:	Wang, Junli, Guang, Mingjian, Jiang, Changjun
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article