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Temporal-Aware Bidirectional Local Label Propagation for Semi-Supervised Time Series Forecasting Under Sparse Supervision

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The rapid growth of time-series data collection has made large-scale observations readily available, yet labeled annotations remain inherently sparse due to practical and domain-specific constraints, such as costly, time-consuming, and expertise-intensive labe... ...