Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States
cs.LG, cs.AI, cs.CL, stat.ML
Submitted: 2026-09-24
Updated: 2026-10-08
Sources
- GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
- STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
- Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
- TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
- Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
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