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Ctrip Technology
Ctrip Technology
May 25, 2023 · Artificial Intelligence

Graph-Based Unsupervised Model for Detecting Malicious Account Clusters in Registration Risk Control

This article presents a graph‑neural‑network driven, unsupervised approach that builds heterogeneous user‑feature graphs, learns node weights, constructs user‑user similarity graphs, and applies threshold‑based clustering to identify abnormal registration clusters for fraud detection in Ctrip's business travel platform.

Anomaly DetectionGraph Neural NetworkUnsupervised Learning
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Graph-Based Unsupervised Model for Detecting Malicious Account Clusters in Registration Risk Control