Machine learningDeep learning / NLP / CV

Multilingual Graph Neural Network

A Multilingual Graph Neural Network (Multilingual GNN) applies graph-based message-passing over nodes and edges that carry features from two or more languages. It is used for tasks such as cross-lingual entity alignment, multilingual knowledge-graph completion, and relation extraction across parallel or comparable corpora, allowing structural and semantic information from multiple languages to be jointly learned.

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Sources

  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

Related methods

ScholarGateMultilingual graph neural network (Multilingual Graph Neural Network). Retrieved 2026-06-04 from https://scholargate.app/tr/deep-learning/multilingual-graph-neural-network