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#graph neural networks Book Open access Nov 2026

SemSTG: Semantic State Transition Graphs for Time Series Event Forecasting

This paper constructs a semantic state transition graph (SemSTG) from time series with a self-supervised state recognition approach, and introduces a novel graph neural network to learn robust representations of the semantic state transition graph.

Jie Zhang, Peng Wang, Wei Wang · 0 citations

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