This report sounds the alarm on fraud in government programs. The message is clear: Fraudsters are attacking government programs with relentless speed, using stolen and fake identities, across ...

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.

Similarly, an ecommerce platform employs graph networks to identify high-risk orders based on behavioral anomalies, effectively reducing chargebacks while preserving a seamless customer experience.

The risk-aware semi-supervised experiments also demonstrate the excellent performance of our model with only a small fraction of manually labeled data. Moreover, RGTAN has been deployed in a ...

Pro Tackling social media fraud with graph databases Opinion By Jim Webber published 12 February 2025 Graph technology can be a tool for investigating misinformation Comments ( 0 ) ...

A quantitative approach was adopted, and primary data was collected from 385 finance, accounting, audit, and forensic experts in federal ministries and agencies. A structured Likert-scaled ...

Deduce's Identity Graph, the largest independent identity graph for cyber risk and fraud, continuously captures data from over 185 million weekly active users engaged in 1.5 billion daily events.

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...