首页|期刊导航|数据科学与管理(英文)|Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks

Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networksOA

Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks

Wasim Khan;Afsaruddin Mohd;Mohammad Suaib;Mohammad Ishrat;Anwar Ahamed Shaikh;Syed Mohd Faisal

Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation,Vaddeswaram,522502,IndiaDepartment of Computer Engineering&Applications,GLA University,Mathura,281406,IndiaDepartment of Computer Science and Engineering,Integral University,Lucknow,226026,IndiaDepartment of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation,Vaddeswaram,522502,IndiaDepartment of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation,Vaddeswaram,522502,IndiaDepartment of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation,Vaddeswaram,522502,India

Anomaly detectionDeep learningHypersphere learningResidual modelingGraph convolution networkAttention mechanism

Anomaly detectionDeep learningHypersphere learningResidual modelingGraph convolution networkAttention mechanism

《数据科学与管理(英文)》 2025 (2)

137-146,10

10.1016/j.dsm.2024.09.002

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