This paper introduces ARGAE-MSCE, an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a Multi-scale Chebyshev Convolutional (ChebConv) Encoder (MSCE), designed for unsupervised anomaly ...

Convolutional Neural Network Model,Cyclic Redundancy Check,Data Packets,Decoder Block,Decoding,Deep Learning Models,Denoising Autoencoder,Encoder Layer,Energy Conservation,Estimation Process,Gradient ...

CAIR is a centre for research excellence on artificial intelligence at the University of Agder. We attack unsolved problems, seeking superintelligence.