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Spatial-temporal graph neural networks for weather prediction in South Africa

Spatial-temporal graph neural networks (ST-GNN) have been shown to be highly effective for flow prediction in dynamic systems but are under-explored for weather prediction applications. Additionally, current approaches for evalu- ating ST-GNN models do not take into account the robustness and stabil...

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Bibliographic Details
Main Author: Davidson, Mohamed
Other Authors: Moodley, Deshendran
Format: Thesis
Language:English
English
Published: Department of Computer Science 2026
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