most citedAutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders

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cs.NI2026

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder

Georgios Anyfantis, Pere Barlet-Ros

In this paper, we propose a proof-of-concept Graph Neural Network model that can successfully predict network flow-level traffic (NetFlow) by accurately modelling the graph structu…