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Anonymous Anonymous

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#graph neural networks Open access Sep 2026

Code and data for HDSTAR-GNN: A heterogeneous dynamic spatiotemporal graph neural network model for quantifying spatially cascading impacts of extreme precipitation on economic growth

Dynamic spatiotemporal autoregressive models explicitly represent spatial dependency and temporal dynamics underlying an evolving spatial system, providing a natural framework for investigating how climate shocks propagate, persist, and amplify. Yet their application to fine-resolution climate-impact assessment is crit...

Anonymous Anonymous · 0 citations
#graph neural networks Open access Sep 2026

Code and data for HDSTAR-GNN: A heterogeneous dynamic spatiotemporal graph neural network model for quantifying spatially cascading impacts of extreme precipitation on economic growth

Dynamic spatiotemporal autoregressive models explicitly represent spatial dependency and temporal dynamics underlying an evolving spatial system, providing a natural framework for investigating how climate shocks propagate, persist, and amplify. Yet their application to fine-resolution climate-impact assessment is crit...

Anonymous Anonymous · 0 citations

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