数据科学与管理（英文）2025，Vol.8Issue(2)：137-146,10.DOI:10.1016/j.dsm.2024.09.002
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 networks
Wasim Khan 1Afsaruddin Mohd 2Mohammad Suaib 3Mohammad Ishrat 1Anwar Ahamed Shaikh 1Syed Mohd Faisal1
作者信息
- 1. Department of Computer Science and Engineering,Koneru Lakshmaiah Education Foundation,Vaddeswaram,522502,India
- 2. Department of Computer Engineering&Applications,GLA University,Mathura,281406,India
- 3. Department of Computer Science and Engineering,Integral University,Lucknow,226026,India
- 折叠
摘要
关键词
Anomaly detection/Deep learning/Hypersphere learning/Residual modeling/Graph convolution network/Attention mechanismKey words
Anomaly detection/Deep learning/Hypersphere learning/Residual modeling/Graph convolution network/Attention mechanism引用本文复制引用
Wasim Khan,Afsaruddin Mohd,Mohammad Suaib,Mohammad Ishrat,Anwar Ahamed Shaikh,Syed Mohd Faisal..Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks[J].数据科学与管理（英文）,2025,8(2):137-146,10.
