Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment

HIGHLIGHTS

• who: Yunfei Li from the Department of Computer Science and Software Engineering, Faculty of Science Engineering and Technology, Swinburne University of Technology, Melbourne, Australia have published the research: Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment, in the Journal: (JOURNAL)
• what: To resolve this issue the authors propose a generative adversarial entity alignment method which is more robust to noise data. The method To address the above challenges, in this work, the authors propose Generative Adversarial Network for Unsupervised Multi-lingual Knowledge Graph Entity Alignment (GAEA), a generative adversarial network (GAN) for . . .
  

   

  

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