IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...
IEEE

Spectrum Data Graph Structure Learning Based On Dual-View Contrastive Learning For Spectrum Prediction Of ISCC

Abstract: In the upcoming 6G era, an efficient spectrum prediction method is crucial for meeting the requirements of complex intelligent applications in wireless networks. This paper proposes a ...