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多语言图神经网络

多语言图神经网络（Multilingual GNN）在承载两种或两种以上语言特征的节点和边上应用基于图的消息传递。它用于跨语言实体对齐、多语言知识图谱补全以及平行或可比语料库中的关系抽取等任务，能够联合学习多语言的结构和语义信息。

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多语言图神经网络
图神经网络多语言循环神经网络多语言句子嵌入多语言 Transformer基于图神经网络的迁移学习

来源

  1. Kipf, T. N., & Welling, M. (2017). Semi-supervised classification with graph convolutional networks. In Proceedings of ICLR 2017. link ↗
  2. Cao, Y., Liu, Z., Li, C., Li, J., & Chua, T.-S. (2019). Multi-channel graph neural network for entity alignment. In Proceedings of ACL 2019, 1452–1461. DOI: 10.18653/v1/P19-1140 ↗

如何引用本页

ScholarGate. (2026, June 3). Multilingual Graph Neural Network. ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-graph-neural-network

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ScholarGate — Multilingual graph neural network (Multilingual Graph Neural Network). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/multilingual-graph-neural-network · 数据集： https://doi.org/10.5281/zenodo.20539026