LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection
Anomaly detection in graphs is increasingly used to reveal fraud, fakes, security attacks and unusual behaviours in networks, such as social networks, financial transaction networks and the Internet of Things. Accurately detecting such graph anomalies using deep learning approaches faces challenges...
| Main Authors: | , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
IEEE
2024-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/10662895/ |