Dynamic Periodic Event Graphs for multivariate time series pattern prediction

Understanding and predicting outcomes in complex real-world systems necessitates robust multivariate time series pattern analysis. Advanced techniques, such as dynamic graph neural networks, have shown significant efficacy for these tasks. However, existing approaches often overlook the inherent per...

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書目詳細資料

Principais autores:	SoYoung Park, HyeWon Lee, Sungsu Lim
格式:	Artigo
語言:	Inglês
出版:	PeerJ Inc. 2025-02-01
叢編:	PeerJ Computer Science
主題:	Multivariate time series analysis Dynamic graphs Event graphs Graph neural networks Self-supervised learning Link prediction
在線閱讀:	https://peerj.com/articles/cs-2717.pdf
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