Iterative graph embedding of a blockchain network

An apparatus for calculating risk scores for blockchain addresses, comprising:

• one or more memories storing processor-executable code;
• and
• one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the apparatus to:
• generate, using a graph representation of a blockchain network and a node embedding model, a first set of node embeddings for a first plurality of blockchain addresses of the blockchain network using transaction data associated with transactions occurring on the blockchain network by the first plurality of blockchain addresses;
• and
• generate, using the graph representation of the blockchain network, a second set of node embeddings for a second plurality of blockchain addresses that are associated with new transaction data since generation of the first set of node embeddings, wherein generating the second set of node embeddings comprises:
• executing, for each node corresponding to a blockchain address of the second plurality of blockchain addresses, a random walk across a set of nodes starting with the node using the transaction data for the set of nodes;
• inputting data resulting from the random walk for each node of the second plurality of blockchain addresses into the node embedding model, the inputting resulting in the node embedding model generating the second set of node embeddings;
• and
• computing, using at least the second set of node embeddings, a risk score for each blockchain address of the second plurality of blockchain addresses.

A non-transitory computer-readable medium storing code for calculating risk scores for blockchain addresses, the code comprising instructions executable by one or more processors to:

• generate, using a graph representation of a blockchain network and a node embedding model, a first set of node embeddings for a first plurality of blockchain addresses of the blockchain network using transaction data associated with transactions occurring on the blockchain network by the first plurality of blockchain addresses;
• and
• generate, using the graph representation of the blockchain network, a second set of node embeddings for a second plurality of blockchain addresses that are associated with new transaction data since generation of the first set of node embeddings, wherein generating the second set of node embeddings comprises:
• executing, for each node corresponding to a blockchain address of the second plurality of blockchain addresses, a random walk across a set of nodes starting with the node using the transaction data for the set of nodes;
• inputting data resulting from the random walk for each node of the second plurality of blockchain addresses into the node embedding model, the inputting resulting in the node embedding model generating the second set of node embeddings;
• and
• computing, using at least the second set of node embeddings, a risk score for each blockchain address of the second plurality of blockchain addresses.