GS-Fuse proposes Granger-supervised gated fusion and multi-granularity alignment for event-driven multimodal financial forecasting and reports outperformance over baselines on real datasets.
InAdvances in Neural Information Processing Systems, A
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GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting
GS-Fuse proposes Granger-supervised gated fusion and multi-granularity alignment for event-driven multimodal financial forecasting and reports outperformance over baselines on real datasets.