公开(公告)号：US20210233080A1

公开(公告)日：2021-07-29

申请号：US16751880

申请日：2020-01-24

Applicant: Adobe Inc.

Inventor： Shubhranshu Shekhar ,  Deepak Pai ,  Sriram Ravindran

IPC: G06Q20/40 ,  G06N3/08 ,  G06Q30/06

Abstract: The present disclosure relates to utilizing a graph convolutional neural network to generate similarity probabilities between pairs of digital identities associated with digital transactions based on time dependencies for use in identifying fraudulent transactions. For example, the disclosed systems can generate a transaction graph that includes nodes corresponding to digital identities. The disclosed systems can utilize a time-dependent graph convolutional neural network to generate node embeddings for the nodes based on the edge connections of the transaction graph. Further, the disclosed systems can utilize the node embeddings to determine whether a digital identity is associated with a fraudulent transaction.