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Ricci Curvature-Based Semi-Supervised Learning on an Attributed Network
In recent years, on the basis of drawing lessons from traditional neural network models, people have been paying more and more attention to the design of neural network architectures for processing graph structure data, which are called graph neural networks (GNN). GCN, namely, graph convolution net...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7997130/ https://ncbi.nlm.nih.gov/pubmed/33673440 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23030292 |
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