Knowledge graph alignment network with node-level strong fusion

HIGHLIGHTS

  • who: Shuang Liu et al. from the School of Computer Science and Engineering, Dalian Minzu University, Dalian, China have published the paper: Knowledge Graph Alignment Network with Node-Level Strong Fusion, in the Journal: (JOURNAL)
  • what: In this paper a novel node-level information framework (SFEA) is proposed based on four aspects: structure attribute relation and names.
  • how: Experimental results show that this approach performs better results and is more robust compared with state-of-the-art methods for entity alignment. After that the various parts of the model are described in detail . . .

     

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