Abstract: The present disclosure relates to the technical field of computers. Disclosed are a methodand apparatus for classifying a blockchain address. A specific implementation of the method includes: acquiring blockchain transaction information, where the blockchain transaction information indicates one or more transaction input addresses and one or more transaction output addresses; constructing a transaction bipartite graph corresponding to the blockchain transaction information; obtaining, according to the transaction bipartite graph and a graph embedding algorithm, address vectors respectively corresponding to the one or more transaction input addresses and the one or more transaction output addresses; and using the address vectors as inputs of an address classifier, so as to classify the one or more transaction input addresses and/or the one or more transaction output addresses by the address classifier. By means of the implementation, the accuracy of blockchain address classification is improved.

Abstract: The present disclosure relates to the technical field of computers, in particular to a method and apparatus for classifying a blockchain address. The method includes: transaction vectors are generated for transaction records corresponding to each blockchain address in a blockchain address set; a corresponding address vector is generated based on the transaction vectors corresponding to a blockchain address to be classified; and the address vector of the blockchain address to be classified is input into a classifier, so as to determine a class of the blockchain address to be classified. By means of the method, equal-length vectors representing the blockchain addresses can be obtained for classification by the classifier, transaction behaviors and association relationships of participating entities in a blockchain are effectively expressed.