Fraud Detection with Entity Resolution and Graph Neural Networks

A practical guide to how entity resolution improves machine learning to detect fraud

Online fraud is an ever-growing issue for finance, e-commerce and other related industries. In response to this threat, organizations use fraud detection mechanisms based on machine learning and behavioral analytics. These technologies enable the detection of unusual patterns, abnormal behaviors, and fraudulent activities in real time.

Unfortunately, often only the current transaction, …

data science entity-resolution fraud detection graph neural networks machine learning