Network Traffic Matrix Prediction on Abilene
0.0491MAELEAD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LEADType=Visual Learning, Tout=12026.01 | 0.0491 | 0.1098 | |
| LEADType=Visual Learning, Tout=102026.01 | 0.0494 | 0.1112 | |
| LEADType=Visual Learning, Tout=202026.01 | 0.0504 | 0.1134 | |
| M2-STLType=Advanced Multi-Scale, Tout=12026.01 | 0.061 | 0.1198 | |
| LSTMType=RNN-based, Tout=12026.01 | 0.0654 | 0.1365 | |
| GRUType=RNN-based, Tout=12026.01 | 0.0657 | 0.1313 | |
| LSTMType=RNN-based, Tout=102026.01 | 0.0666 | 0.1367 | |
| GRUType=RNN-based, Tout=102026.01 | 0.0696 | 0.1409 | |
| MC-STLType=Advanced Multi-Scale, Tout=12026.01 | 0.0702 | 0.1365 | |
| ViT-LSTMType=Visual Learning, Tout=12026.01 | 0.0707 | 0.1368 | |
| MC-STLType=Advanced Multi-Scale, Tout=102026.01 | 0.0714 | 0.1514 | |
| GRUType=RNN-based, Tout=202026.01 | 0.072 | 0.1417 | |
| ViT-LSTMType=Visual Learning, Tout=102026.01 | 0.0732 | 0.1464 | |
| LSTMType=RNN-based, Tout=202026.01 | 0.0735 | 0.1476 | |
| MC-STLType=Advanced Multi-Scale, Tout=202026.01 | 0.0737 | 0.1527 | |
| DCRNNType=ST-GNNs, Tout=12026.01 | 0.0777 | 0.132 | |
| ViT-LSTMType=Visual Learning, Tout=202026.01 | 0.0778 | 0.1511 | |
| M2-STLType=Advanced Multi-Scale, Tout=102026.01 | 0.0808 | 0.1583 | |
| DCRNNType=ST-GNNs, Tout=102026.01 | 0.0832 | 0.1387 | |
| M2-STLType=Advanced Multi-Scale, Tout=202026.01 | 0.0844 | 0.1669 | |
| DCRNNType=ST-GNNs, Tout=202026.01 | 0.0871 | 0.1399 | |
| MTGNNType=ST-GNNs, Tout=12026.01 | 0.0904 | 0.2003 | |
| ST-SSLType=Advanced Multi-Scale, Tout=12026.01 | 0.1174 | 0.238 | |
| ST-SSLType=Advanced Multi-Scale, Tout=102026.01 | 0.1233 | 0.2484 | |
| ST-SSLType=Advanced Multi-Scale, Tout=202026.01 | 0.1244 | 0.2494 | |
| MTGNNType=ST-GNNs, Tout=102026.01 | 0.1286 | 0.2651 | |
| MTGNNType=ST-GNNs, Tout=202026.01 | 0.1376 | 0.2781 | |
| STGCNType=ST-GNNs, Tout=12026.01 | 0.1555 | 0.2323 | |
| STGCNType=ST-GNNs, Tout=102026.01 | 0.1675 | 0.2496 | |
| STGCNType=ST-GNNs, Tout=202026.01 | 0.1711 | 0.2533 |