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ComGA : Community-Aware Attributed Graph Anomaly Detecti..:
, In:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
,
Luo, Xuexiong
;
Wu, Jia
;
Beheshti, Amin
... - p. 657-665 , 2022
Link:
https://dl.acm.org/doi/10.1145/3488560.3498389
RT T1 <cTitle>Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>ComGA : Community-Aware Attributed Graph Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3498389&Exemplar=1&LAN=DE A1 Luo, Xuexiong A1 Wu, Jia A1 Beheshti, Amin A1 Yang, Jian A1 Zhang, Xiankun A1 Wang, Yuan A1 Xue, Shan PB ACM YR 2022 K1 anomaly detection K1 attributed graphs K1 community structure K1 graph neural networks K1 Human-centered computing K1 Collaborative and social computing K1 Collaborative and social computing design and evaluation methods K1 Social network analysis K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation SP 657 OP 665 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3488560.3498389 DO https://dl.acm.org/doi/10.1145/3488560.3498389 SF ELIB - SuUB Bremen
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