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ResearchFormerly WizWand

Spatio-temporal Prediction on Milan-Internet (10% train)

0.2537NRMSEST-Vision-LLM
0.2240160.4243830.624750.825117Oct 13, 2025
Updated 5mo ago

Evaluation results

MethodLinks
ST-Vision-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.2537
GCNGPTInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.441
ST-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.4555
GATGPTInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.5154
Time-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.5639
GWNETInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.5881
STNInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.6696
ResLSTMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.100.9958