Research on the application of knowledge graphs in bank risk management

HIGHLIGHTS

  • What: This study explores the application of knowledge graph technology in bank risk management using Neo4j demonstrating its advantages in risk identification assessment and prediction. Define Graph Model: Design the graph data model based on the characteristics of the dataset and research objectives, specifying node types, properties, and relationships between nodes. The study elaborates on the concept and characteristics of knowledge graphs and their application scenarios in the banking industry.
  • Who: Visualization., and Haozhe, Zhang from the William HHall High School, North Main Street, West Hartford, CT, The United States have published the paper: Research . . .

     

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