GeoGNN is a two-tower GNN that learns geographic cell embeddings from adjacency graphs and matches them to temporal representations via dot-product similarity plus classification, improving geolocalization accuracy by ~27% on electricity datasets.
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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.
LLM4Delay improves flight delay prediction accuracy by using instance-level projection to adapt LLMs for integrating textual aeronautical information with multiple aircraft trajectories.