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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...
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| Gepubliceerd in: | Comput Intell Neurosci |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Hindawi
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7336866/ https://ncbi.nlm.nih.gov/pubmed/32788918 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/3283890 |
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