Research on knowledge graph for quantification of relationship between enterprises and recognition of potential risks

It is always a complex and important research problem to find the correlation between enterprises and identify the potential risks of enterprises and grey list. In this paper, we adopted a method of knowledge graph building for graph neural network, including the quantification of association information among enterprises by constructing the knowledge graph of relations between enterprises. Based on the establishment of the knowledge graph among enterprises, we use the relationship algorithm to identify the potential risks of the target enterprises by taking the target enterprises as the starting point to find the associated enterprises in the knowledge graph.