An Analysis of Spatio-Temporal Graph Neural Networks Based on Synthetic Time Series with Known Structural Dependencies

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Abstract: Spatio-temporal data modeling is a crucial component of many real-world systems, such as traffic pre

Palabras claves:

Graph Neural Networks, Spatio-Temporal Graph Neural Networks, synthetic data, Time series forecasting

Autores:

Armando Martinez-Ruiz, Gomez-Gil P., Rigoberto Fonseca

Fuentes:

scopus