1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
cs.CR2025★ 1 cited
AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
Georgios Anyfantis, Pere Barlet-Ros
Network Intrusion Detection Systems (NIDS) are essential tools for detecting network attacks and intrusions. While extensive research has explored the use of supervised Machine Lea…