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Multilingual graph neural network/Ushahidi
Rekodi ya ushahidi wa mbinu

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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Multilingual Graph Neural Network
Rekodi ya mbinu ya kiajenda · ml-model / deep-learning
  • Kipf, T. N., & Welling, M. (2017). Semi-supervised classification with graph convolutional networks. In Proceedings of ICLR 2017. · URL
  • 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
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See alsoGraph Neural Network (Network Analysis)machine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilingual Recurrent Neural Networkmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilingual Sentence Embeddingsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilingual Transformermachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTransfer Learning with Graph Neural Networkmachine-suggested · Relational suggestion, not evidence.

Hali ya ushahidi

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

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2 nukuu zilizorekodiwa, ziliyonakiliwa kutoka kwa rekodi ya chanzo cha mbinu.

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