Patent ID: 11907954
Assignee: PAYPAL, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G  H

Claim 9:
10. A non-transitory computer-readable medium having program instructions stored thereon that are executable by a computer system to perform operations comprising:
generating a transaction network graph from an initial set of transactions with transaction attributes, wherein transactions in the initial set of transactions include known labels;
generating, from a training set of transactions using a top k personalized page rank (TopkPPR) graph embedding routine, a first transaction matrix, wherein the TopkPPR routine is based on anomalies in related transactions occurring at one or more nodes in the transaction network graph that are multiple hops away, and wherein the training set includes a first subset of transactions in the transaction network graph;
generating, from the training set of transactions using a neighborhood-based graph embedding routine, a second transaction matrix, wherein the neighborhood-based routine is based on anomalies in neighborhoods of similar transactions, and wherein generating the second transaction, matrix includes aggregating, for a given node assigned an anomaly label, attributes of transactions occurring at nodes within a neighborhood of nodes of the anomaly labeled node and attributes of transactions occurring at the anomaly labeled node;
generating a final embedded matrix from the first transaction matrix and the second transaction matrix, wherein one or more attributes of transactions in the final embedded matrix differ from the attributes of corresponding transactions in the training set of transactions;
training, using the final embedded matrix and a testing set of transactions that includes a second, different subset of transactions in the transaction network graph, a machine learning model; and
storing the trained machine learning model usable by transaction processing systems to identify anomalous transactions.