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SGCN: A Graph Sparsifier Based on Graph Convolutional Networks
Graphs are ubiquitous across the globe and within science and engineering. With graphs growing in size, node classification on large graphs can be space and time consuming, even with powerful classifiers such as Graph Convolutional Networks (GCNs). Hence, some questions are raised, particularly, whe...
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| Publicado no: | Advances in Knowledge Discovery and Data Mining |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7206266/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47426-3_22 |
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