Cross-domain Graph Anomaly Detection Via Dual Classification and Reconstruction
Cross-domain graph anomaly detection improves the accuracy of detecting anomalous nodes by leveraging labeled source graphs to assist in detecting anomalies in unlabeled target graphs,effectively reducing the high false positive rate in unsupervised detection.Aligning features between source and tar...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial office of Computer Science
2025-08-01
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| Serie: | Jisuanji kexue |
| Soggetti: | |
| Accesso online: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-8-374.pdf |
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