Case Study: Real-Time Fraud Detection with Streaming Graph ML
Abstract
A financial services provider integrated streaming graph embeddings with rule learning to detect mule accounts within 200ms. The system improved precision@100 by 11% while reducing false positives by 22%.
Cite this article
Moreira, L. & Silva, B. (2025). Case Study: Real-Time Fraud Detection with Streaming Graph ML. Research Explorations in Global Knowledge & Technology (REGKT), 3 (4). Retrieved from https://regkt.com/article.php?id=112&slug=case-study-real-time-fraud-detection-with-streaming-graph-ml