Ippt4krl: iterative post-processing transfer for knowledge representation learning

HIGHLIGHTS

• who: Weihang Zhang and collaborators from the Data Science Institute, Imperial College London, London , BX, UK have published the research: IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning, in the Journal: (JOURNAL)
• what: The authors propose a simple but effective method that post-processes pre-trained knowledge graph embedding (IPPT4KRL) on individual KGs to maximize the knowledge transfer from another KG when a small portion of alignment information is introduced. This could be an important future direction as the authors explore representation learning across multiple KGs. In Table 7, the authors report the link . . .
  

   

  

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