Flex-GAD : Flexible Graph Anomaly Detection

arXiv — cs.LGFriday, October 31, 2025 at 4:00:00 AM
Flex-GAD is a groundbreaking framework designed for detecting anomalies in attributed networks, which is crucial for identifying fraud and misinformation across various domains like social networks and e-commerce. This innovative approach utilizes two encoders to analyze both the structural connections and descriptive attributes of nodes, making it a significant advancement in the field of graph anomaly detection. Its unsupervised nature allows for broader applications, potentially transforming how we monitor and manage suspicious behaviors online.
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