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Hybrid Low-Order and Higher-Order Graph Convolutional Networks
With the higher-order neighborhood information of a graph network, the accuracy of graph representation learning classification can be significantly improved. However, the current higher-order graph convolutional networks have a large number of parameters and high computational complexity. Therefore...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336866/ https://www.ncbi.nlm.nih.gov/pubmed/32788918 http://dx.doi.org/10.1155/2020/3283890 |