Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder

arXiv:2604.20483 · cs.NI, cs.LG · Submitted 2026-04-22 · Read on arXiv

cs.NI, cs.LG

Submitted: 2026-04-22

Updated: 2026-09-16

Comments: 3 figures, 6 pages

Journal ref: Proc. IEEE MNC, 2026, pp. 1-6

DOI: 10.1109/MNC69143.2026.11680744

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• GNNs — 10× in this paper · explained in 2 episodes
• Graph Neural Network — 9× in this paper
• Transformer — 9× in this paper · explained in 2 episodes
• Time Series Forecasting — 4× in this paper · explained in 3 episodes
• AUROC — 3× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Pruning — 3× in this paper · explained in 4 episodes
• Heterogeneous Graph — 2× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Expected Improvement — 1× in this paper
• Graph Neural Network (GNN) — 1× in this paper · explained in 3 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Long-Short-Term Memory — 1× in this paper
• Multi-Layer Perceptron — 1× in this paper
• One-Hot Encoding — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Temporal Convolution Network — 1× in this paper

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