GRD: Anomaly Detection Algorithm for Multivariate Time Series Data Based on GNN and Diffusion Model

As multivariate time series data become increasingly prevalent across various industries, anomaly detection methods that can ensure the stable operation and security of systems have become crucial. Owing to the inherent complexity and dynamic nature of multivariate time series data, higher demands a...

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Egile nagusia:	DI Qinbo, CHEN Shaoli, SHI Liangren
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Editorial Office of Computer Engineering 2025-11-01
Saila:	Jisuanji gongcheng
Gaiak:	multivariate time series data|anomaly detection|graph neural network (gnn)|diffusion model|evaluation protocol
Sarrera elektronikoa:	https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-11-35.pdf
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!