With the rapid development of communication technology and big data, the digitalization of the financial industry continues to deepen. The volume of data assets in the financial industry has increased dramatically, and the relationships between data have become increasingly complex and intertwined. Traditional analysis of a small amount of, single-dimensional, static data is no longer able to meet the digital transformation needs of the financial industry. Various risk forms have put forward higher requirements for risk control capabilities, and more and more scenarios require the help of intelligent technology. As a powerful tool for in-depth mining of data information, graph databases have begun to attract the attention of the entire industry. With its unique data model and efficient query capabilities, graph databases provide a new data management and analysis solution for the financial industry, and are used in the financial industry. Industry is widely used.
