Finding 7235Emerging EvidenceValidation V0
Researchers introduce DishFT-GNN, an innovative, future-aware graph neural network that effectively integrates historical and forward-looking data using a teacher-student distillation process, revolutionizing stock trend forecasting by capturing unseen market shifts.
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Researchers introduce DishFT-GNN, an innovative, future-aware graph neural network that effectively integrates historical and forward-looking data using a teacher-student distillation process, revolutionizing stock trend forecasting by capturing unseen market shifts.
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Inspect source: A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.