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 Detectionfraud detectiongraph neural network
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