Graph fairing convolutional networks for anomaly detection

Mahsa Mesgaran; A. Ben Hamza

doi:10.1016/j.patcog.2023.109960

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Graph fairing convolutional networks for anomaly detection

Mahsa Mesgaran A. Ben Hamza

Year: 2023 Journal: Pattern Recognition Vol: 145 Pages: 109960-109960 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2023.109960

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Keywords:

Discriminative model Computer science Graph Theoretical computer science Anomaly detection Convolution (computer science) Node (physics) Benchmark (surveying) Convolutional neural network Algorithm Pattern recognition (psychology) Artificial intelligence Artificial neural network

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Graph fairing convolutional networks for anomaly detection

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