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Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.02965v1 Announce Type: cross Abstract: 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-ba…

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  1. 2026-09-04 04:00 · arXiv stat.ML
    Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

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