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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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Dades bibliogràfiques
Publicat a:Entropy (Basel)
Autors principals: Wu, Wei, Hu, Guangmin, Yu, Fucai
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2021
Matèries:
Accés en línia: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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