Random projection forest initialization for graph convolutional networks

Graph convolutional networks (GCNs) were a great step towards extending deep learning to graphs. GCN uses the graph [Formula: see text] and the feature matrix [Formula: see text] as inputs. However, in most cases the graph [Formula: see text] is missing and we are only provided with the feature matr...

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Detalles Bibliográficos
Autores principales: Alshammari, Mashaan, Stavrakakis, John, Ahmed, Adel F., Takatsuka, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433121/
https://www.ncbi.nlm.nih.gov/pubmed/37601292
http://dx.doi.org/10.1016/j.mex.2023.102315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433121/
https://www.ncbi.nlm.nih.gov/pubmed/37601292
http://dx.doi.org/10.1016/j.mex.2023.102315

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