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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |