Knowledge graph-based block chain anonymous tracking method and electronic equipment

The invention discloses a block chain anonymous tracking method based on a knowledge graph and electronic equipment, and the method comprises the steps: firstly, carrying out the screening of known suspicious address accounts according to a transaction value, obtaining the transaction occurrence time and a corresponding address account range, and carrying out the slicing analysis of a block chain according to the flow direction and value of a transaction; then, dependency syntax tree analysis is carried out on an atlas obtained after slice analysis to extract logic rules implied in the atlas; and then, a GraphSAGE algorithm is used for learning to obtain vector representation of each node in a low-dimensional space so as to be used by a logical reasoning analysis task. The vector representation of the nodes is evaluated by a relationship evaluation function, so that a potential logical relationship between the nodes is obtained through reasoning, the importance degree of the nodes in the block chain network i