HiMoE adds a node-wise mixture-of-experts architecture and a ratio-based fairness metric to spatial-temporal forecasting, claiming large gains in both accuracy and cross-node consistency.
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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
HiMoE adds a node-wise mixture-of-experts architecture and a ratio-based fairness metric to spatial-temporal forecasting, claiming large gains in both accuracy and cross-node consistency.