Anomaly detection in graph databases using graph neural networks: Identifying unusual patterns in graphs
Anomaly detection in graph-structured data is a critical task in various applications, including social networks, fraud detection, and educational platforms. This paper introduces a novel hybrid architecture that leverages Graph Convolutional Networks (GCN), Graph Attention Networks (GAT), and Graph...
Gorde:
| Egile Nagusiak: | , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Elsevier
2025-09-01
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| Saila: | Egyptian Informatics Journal |
| Gaiak: | |
| Sarrera elektronikoa: | http://www.sciencedirect.com/science/article/pii/S1110866525001288 |
| Etiketak: |
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