most citedDynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting

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cs.LG2024

Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation

Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk +1

Exploring the missing values is an essential but challenging issue due to the complex latent spatio-temporal correlation and dynamic nature of time series. Owing to the outstanding…

cs.LG2023★ 1 cited

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting

Guojun Liang, Prayag Tiwari, Sławomir Nowaczyk +2

Graph neural networks (GNNs), especially dynamic GNNs, have become a research hotspot in spatio-temporal forecasting problems. While many dynamic graph construction methods have be…