Auto-GNN: Neural architecture search of graph neural networks

Graph neural networks (GNNs) have been widely used in various graph analysis tasks. As the graph characteristics vary significantly in real-world systems, given a specific scenario, the architecture parameters need to be tuned carefully to identify a suitable GNN. Neural architecture search (NAS) ha...

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Detalles Bibliográficos
Autores principales: Zhou, Kaixiong, Huang, Xiao, Song, Qingquan, Chen, Rui, Hu, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714572/
https://www.ncbi.nlm.nih.gov/pubmed/36466713
http://dx.doi.org/10.3389/fdata.2022.1029307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714572/
https://www.ncbi.nlm.nih.gov/pubmed/36466713
http://dx.doi.org/10.3389/fdata.2022.1029307

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