Zhi’en Jiang

A spatio-temporal graph neural network-based method for optical network traffic forecasting and anomaly detection

Experimental evaluation on public and proprietary datasets shows that the proposed STGNN consistently outperforms statistical and deep learning baselines in terms of prediction accuracy and anomaly detection sensitivity.