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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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| Format: | Thesis |
| Language: | English English |
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Department of Computer Science
2026
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