LLM-guided spatio-temporal graph node generation for forecasting unobserved node states
Read the original at arxiv.org→arXiv:2610.08818v1 Announce Type: new Abstract: Spatio-temporal forecasting is a cornerstone of logistics, urban planning, and intelligent transportation systems. However, constrained by deployment costs and...
Original headline: "Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States"
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- Oct 8, 04:00 UTC arXiv cs.LG lead source Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States