Spatio-temporal Prediction on Trentino-SMS (10% train)
0.9882NRMSEST-Vision-LLM
Evaluation results
| Method | Links | |
|---|---|---|
| ST-Vision-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 0.9882 | |
| GATGPTInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.17 | |
| STNInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.3032 | |
| ST-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.3362 | |
| Time-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.3615 | |
| GCNGPTInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.4068 | |
| GWNETInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.4182 | |
| ResLSTMInput sequence length (S)=12, Prediction horizon (K)=36, Few-shot training percentage=10%2025.10 | 1.5129 |