A label-decomposition training scheme with per-component supervision and recombination, combined with random subgraph sampling, improves long-term large-scale wireless traffic forecasting.
Wireless traffic modeling and prediction using seasonal arima models,
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Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
A label-decomposition training scheme with per-component supervision and recombination, combined with random subgraph sampling, improves long-term large-scale wireless traffic forecasting.