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What is Irregular Time Series Forecasting with GNN about?

This document presents a novel approach for forecasting Irregular Multivariate Time Series (IMTS) using Transformable Patching Graph Neural Networks (T-PATCH GNN). The method addresses challenges such as irregular sampling intervals and inter-time series correlations by transforming univariate time series into patches with uniform temporal resolution, thus avoiding sequence length explosion. Extensive experiments demonstrate the effectiveness of T-PATCH GNN compared to existing models across various scienti

Author

ziyuzhou30

Language

EN