4 papers
Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection
Iyad Assaad Nekka, Hamida Seba, Khaled Walid Hidouci +1
Deep learning detectors for anomalies in dynamic graphs have reached strong accuracy, yet they remain opaque: when an edge is flagged, the analyst receives a score but no reason. T…
Hyperbolic Graph Embeddings: a Survey and an Evaluation on Anomaly Detection
Souhail Abdelmouaiz Sadat, Mohamed Yacine Touahria Miliani, Khadidja Hab El Hames +2
This survey reviews hyperbolic graph embedding models, and evaluate them on anomaly detection, highlighting their advantages over Euclidean methods in capturing complex structures.…
An Evaluation Tool for Backbone Extraction Techniques in Weighted Complex Networks
Ali Yassin, Abbas Haidar, Hocine Cherifi +2
Networks are essential for analyzing complex systems. However, their growing size necessitates backbone extraction techniques aimed at reducing their size while retaining critical…
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
Atmane Ayoub Mansour Bahar, Kamel Soaid Ferrahi, Mohamed-Lamine Messai +2
Advanced Persistent Threats (APTs) represent a significant challenge in cybersecurity due to their sophisticated and stealthy nature. Traditional Intrusion Detection Systems (IDS)…