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Zhixian Wang

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Book Open access Aug 2026

GODM: Graph Orthogonal Diffusion Models for Spatio-Temporal Forecasting

A novel framework (GODM) is proposed that adopts orthogonalization to decouple intricate temporal dynamics while employing spatial convolutions to simulate information flow across space and consistently outperforms state-of-the-art spatio-temporal diffusion models.

Zhixian Wang, Michel Ferreira Cardia Haddad, J. E. Medina Reyes et al. · 0 citations

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