Replacing learned adaptive node embeddings with PCA-derived embeddings keeps traffic forecasting models accurate across years and cities without retraining.
Learning social meta-knowledge for nowcasting human mobility in disaster,
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Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
Replacing learned adaptive node embeddings with PCA-derived embeddings keeps traffic forecasting models accurate across years and cities without retraining.