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cs.LG2025
ARES: Anomaly Recognition Model For Edge Streams
Simone Mungari, Albert Bifet, Giuseppe Manco +1
Many real-world scenarios involving streaming information can be represented as temporal graphs, where data flows through dynamic changes in edges over time. Anomaly detection in t…
cs.LG2025
Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
Simone Mungari, Ettore Ritacco, Pietro Sabatino
Node-level anomaly detection (NAD) is challenging due to diverse structural patterns and feature distributions. As such, NAD is a critical task with several applications which rang…