CSC-GCN: Contrastive semantic calibration for graph convolution network
Graph convolutional networks (GCNs) have been successfully applied to node representation learning in various real-world applications. However, the performance of GCNs drops rapidly when the labeled data are severely scarce, and the node features are prone to being indistinguishable with stacking mo...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
KeAi Communications Co., Ltd.
2023-11-01
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| Colecção: | Journal of Information and Intelligence |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2949715923000598 |
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