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Anomaly Detection Method Based on Graph Convolutional Networks and Community Detection
Artificial Intelligence | 更新时间:2024-12-30
    • Anomaly Detection Method Based on Graph Convolutional Networks and Community Detection

    • Experts in the field of deep learning have proposed a two-stage anomaly detection method based on graph convolutional networks, which effectively improves the anomaly detection performance of complex network structures.
    • Software Guide   Vol. 23, Issue 12, Pages: 58-65(2024)
    • DOI:10.11907/rjdk.241509    

      CLC: TP183
    • Published:16 December 2024

      Received:05 June 2024

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  • XIA Fei,ZHAO Xinjian,WANG Kaiqi,et al.Anomaly Detection Method Based on Graph Convolutional Networks and Community Detection[J].Software Guide,2024,23(12):58-65. DOI: 10.11907/rjdk.241509.

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