Spatiotemporal Traffic Forecasting on Trentino-Internet
0.6354NRMSEGATGPT
Evaluation Results
| Method | Links | |
|---|---|---|
| GATGPTInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.6354 | |
| GWNETInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.649 | |
| ST-Vision-LLMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.6638 | |
| GWNETSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.6891 | |
| ST-Vision-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.7451 | |
| ST-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.7678 | |
| GATGPTSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.779 | |
| GCNGPTInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.8004 | |
| ResLSTMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.8566 | |
| ResLSTMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.931 | |
| Time-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.9668 | |
| Time-LLMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.9939 | |
| GCNGPTSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.9999 | |
| STNSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 1.0076 | |
| ST-LLMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 1.0469 | |
| ST-Vision-LLMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.0975 | |
| Time-LLMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.1317 | |
| STNprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.248 | |
| GCNGPTprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.2596 | |
| GWNETprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.3046 | |
| GATGPTprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.4012 | |
| ST-LLMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.4578 | |
| ResLSTMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.5969 | |
| STNInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 1.6943 |