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Graph Multihead Attention Pooling with Self-Supervised Learning

Graph neural networks (GNNs), which work with graph-structured data, have attracted considerable attention and achieved promising performance on graph-related tasks. While the majority of existing GNN methods focus on the convolutional operation for encoding the node representations, the graph pooli...

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Detalles Bibliográficos
Autores principales:	Wang, Yu, Hu, Liang, Wu, Yang, Gao, Wanfu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777688/ https://www.ncbi.nlm.nih.gov/pubmed/36554149 http://dx.doi.org/10.3390/e24121745

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