Unified representation and scoring framework for anomaly detection in attributed networks with emphasis on structural consistency and attribute integrity

Abstract Anomaly detection in attributed networks has attracted considerable interest owing to its applications in security, fraud detection, and system monitoring. These networks pose unique challenges as anomalies may arise from either structural irregularities or inconsistencies in node attribute...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Scientific Reports
المؤلفون الرئيسيون: Wasim Khan, Nadhem Ebrahim, Mohammed Alsaadi, Mourad Elloumi
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-10-01
الموضوعات:
Attributed graphs
Anomaly detection
Graph representation learning
Community detection
Node embedding
Structural and attribute fusion
الوصول للمادة أونلاين:https://doi.org/10.1038/s41598-025-19650-y

الانترنت

https://doi.org/10.1038/s41598-025-19650-y

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