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Hao Pan

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#graph neural networks Open access Sep 2026

A neural-symbolic dynamic graph framework for real-time anomaly detection in software-defined industrial cyber-physical systems

NS-MFM-DGA is introduced, a neural-symbolic multimodal foundation model that incorporates dynamic graph attention for real-time anomaly detection in SD-ICPS and provides a feasible and explainable low-latency anomaly-detection framework for supervisory monitoring in SD-ICPS.

Sen-Lin Jiang, Wen-Jian Zhang, Hao Pan · 0 citations

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