Machine learningDeep learning / NLP / CV
半监督图神经网络
半监督图神经网络在图上训练图神经网络（GNN），其中只有一小部分节点带有标签，利用邻域消息传递将信息从标记节点传播到未标记节点。该方法由 Kipf 和 Welling 于 2017 年提出的图卷积网络（GCN）推广，即使在标记样本稀缺的情况下也能实现很高的节点分类精度。
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来源
- Kipf, T. N., & Welling, M. (2017). Semi-Supervised Classification with Graph Convolutional Networks. International Conference on Learning Representations (ICLR 2017). link ↗
- Zhou, D., Bousquet, O., Lal, T. N., Weston, J., & Scholkopf, B. (2004). Learning with Local and Global Consistency. Advances in Neural Information Processing Systems (NeurIPS 2004), 17. link ↗
如何引用本页
ScholarGate. (2026, June 3). Semi-supervised Graph Neural Network (GNN with Label Propagation). ScholarGate. https://scholargate.app/zh/deep-learning/semi-supervised-graph-neural-network
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