Spatiotemporal traffic forecasting on Milan-Internet
0.0746NRMSEGWNET
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GWNETHorizon=1-step2025.10 | 0.0746 | 14.9597 | 23.2448 | |
| STGCNHorizon=1-step2025.10 | 0.091 | 21.6623 | 28.5073 | |
| ST-Vision-LLMHorizon=1-step2025.10 | 0.1018 | 21.6525 | 31.8887 | |
| ACFMHorizon=1-step2025.10 | 0.1176 | 28.1887 | 36.8261 | |
| GCNGPTHorizon=1-step2025.10 | 0.1287 | 29.5151 | 40.3999 | |
| GATGPTHorizon=1-step2025.10 | 0.1323 | 30.327 | 41.5221 | |
| ST-LLMHorizon=1-step2025.10 | 0.1325 | 30.236 | 41.5694 | |
| ST-Vision-LLMHorizon=10-step2025.10 | 0.1336 | 27.4897 | 41.8479 | |
| GWNETHorizon=10-step2025.10 | 0.1353 | 27.8492 | 42.5134 | |
| Time-LLMHorizon=1-step2025.10 | 0.1447 | 33.04 | 45.32 | |
| ST-ResNetHorizon=1-step2025.10 | 0.148 | 34.2675 | 46.4401 | |
| ResLSTMHorizon=1-step2025.10 | 0.1581 | 34.8413 | 49.5176 | |
| GCNGPTHorizon=10-step2025.10 | 0.1862 | 43.377 | 58.488 | |
| ResLSTMHorizon=10-step2025.10 | 0.1905 | 41.7371 | 59.8353 | |
| STNHorizon=1-step2025.10 | 0.2034 | 39.5036 | 63.86 | |
| GATGPTHorizon=10-step2025.10 | 0.2079 | 46.5658 | 65.2929 | |
| ARIMAHorizon=1-step2025.10 | 0.2134 | 40.271 | 66.8839 | |
| ST-Vision-LLMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.215 | — | — | |
| ST-ResNetHorizon=10-step2025.10 | 0.2154 | 49.3016 | 67.6645 | |
| ST-LLMHorizon=10-step2025.10 | 0.2307 | 51.5147 | 72.4567 | |
| ACFMHorizon=10-step2025.10 | 0.2433 | 48.118 | 76.4256 | |
| Time-LLMHorizon=10-step2025.10 | 0.2504 | 56.78 | 78.65 | |
| MCSTGCNHorizon=1-step2025.10 | 0.2782 | 56.4753 | 87.0866 | |
| STNHorizon=10-step2025.10 | 0.2903 | 55.0212 | 91.1873 | |
| STGCNHorizon=10-step2025.10 | 0.2924 | 68.8386 | 91.8513 | |
| ST-Vision-LLMHorizon=60-step2025.10 | 0.3297 | 75.8858 | 103.8315 | |
| ARIMAHorizon=10-step2025.10 | 0.3607 | 68.3513 | 113.3009 | |
| ST-Vision-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.3887 | — | — | |
| ST-Vision-LLMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.4047 | — | — | |
| GCNGPTInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.4379 | — | — | |
| GCNGPTprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.4384 | — | — | |
| MCSTGCNHorizon=10-step2025.10 | 0.4391 | 93.1341 | 137.933 | |
| GATGPTprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.4565 | — | — | |
| MCSTGCNHorizon=60-step2025.10 | 0.4601 | 98.7467 | 144.8693 | |
| ResLSTMHorizon=60-step2025.10 | 0.4696 | 110.8396 | 147.7705 | |
| GCNGPTSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.4819 | — | — | |
| STGCNHorizon=60-step2025.10 | 0.487 | 112.0226 | 153.344 | |
| ST-LLMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.494 | — | — | |
| GATGPTSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.5071 | — | — | |
| ST-LLMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.5074 | — | — | |
| ST-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.51 | — | — | |
| GATGPTInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.5209 | — | — | |
| Time-LLMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.5403 | — | — | |
| Time-LLMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.5456 | — | — | |
| STNHorizon=60-step2025.10 | 0.5648 | 99.6591 | 177.8506 | |
| GWNETHorizon=60-step2025.10 | 0.5721 | 103.8087 | 180.1602 | |
| ACFMHorizon=60-step2025.10 | 0.5833 | 109.5715 | 183.7074 | |
| ST-LLMHorizon=60-step2025.10 | 0.6092 | 109.3175 | 191.8308 | |
| GCNGPTHorizon=60-step2025.10 | 0.6195 | 109.4818 | 195.0954 | |
| Time-LLMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.6253 | — | — | |
| ST-ResNetHorizon=60-step2025.10 | 0.6253 | 139.4607 | 196.9013 | |
| GATGPTHorizon=60-step2025.10 | 0.6619 | 122.4923 | 208.457 | |
| GWNETInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.707 | — | — | |
| GWNETprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.7079 | — | — | |
| Time-LLMHorizon=60-step2025.10 | 0.7341 | 132.47 | 231.19 | |
| STNSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.798 | — | — | |
| ResLSTMSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.8253 | — | — | |
| STNprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 0.8626 | — | — | |
| GWNETSource Domain=Trentino-Call, Fine-tuning Training Data Percentage=2%, Input Sequence Length (S)=12, Prediction Horizon (K)=362025.10 | 0.868 | — | — | |
| ARIMAHorizon=60-step2025.10 | 0.9249 | 156.6109 | 291.2429 | |
| ResLSTMInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 0.9524 | — | — | |
| STNInput sequence length (S)=12, Prediction horizon (K)=36, Training data percentage=5%2025.10 | 1.4616 | — | — | |
| ResLSTMprediction_mode=zero-shot, source_domain=Trentino-Call, input_sequence_length=12, prediction_horizon=362025.10 | 1.5463 | — | — |