arXiv (OAI Expanded)
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Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs
Dynamic networks are being applied in many domains, from social media to logistics systems, each with their own set of special characteristics. A model employed on this type of data must capture the duality between temporal/structural and feature-based information. Yet state-of-the-art deep learning
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