ST-Sheaf GNN uses time-evolving sheaf restriction maps to model adaptive local structure on spatio-temporal graphs, mitigating oversmoothing and reaching state-of-the-art forecasting accuracy.
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Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
ST-Sheaf GNN uses time-evolving sheaf restriction maps to model adaptive local structure on spatio-temporal graphs, mitigating oversmoothing and reaching state-of-the-art forecasting accuracy.