Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks

@article{Polyzos2020UnveilingAE,
  title={Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks},
  author={Konstantinos D. Polyzos and Costas Mavromatis and Vassilis N. Ioannidis and Georgios B. Giannakis},
  journal={2020 54th Asilomar Conference on Signals, Systems, and Computers},
  year={2020},
  pages={726-730}
}
Uncovering anomalies in attributed networks has recently gained popularity due to its importance in unveiling outliers and flagging adversarial behavior in a gamut of data and network science applications including the Internet of Things (IoT), finance, security, to list a few. The present work deals with uncovering anomalous edges in attributed graphs using two distinct formulations with complementary strengths, which can be easily distributed, and hence efficient. The first relies on… 
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