Spatio-temporal forecasting on NYC Citi Bike (test)
2.67RMSEMTGNN
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MTGNNpre-training=GPT-ST2023.11 | 2.67 | 1.78 | 51.16 | — | — | — | — | — | — | — | — | — | |
| GWNpre-training=GPT-ST2023.11 | 2.7 | 1.8 | 51.69 | — | — | — | — | — | — | — | — | — | |
| STMGCNpre-training=GPT-ST2023.11 | 2.73 | 1.81 | 52.95 | — | — | — | — | — | — | — | — | — | |
| STFGNNpre-training=GPT-ST2023.11 | 2.74 | 1.86 | 54.84 | — | — | — | — | — | — | — | — | — | |
| MSDRpre-training=GPT-ST2023.11 | 2.74 | 1.82 | 52.78 | — | — | — | — | — | — | — | — | — | |
| CCRNNpre-training=GPT-ST2023.11 | 2.77 | 1.82 | 51.33 | — | — | — | — | — | — | — | — | — | |
| STSGCNpre-training=GPT-ST2023.11 | 2.79 | 1.88 | 55.23 | — | — | — | — | — | — | — | — | — | |
| STWApre-training=GPT-ST2023.11 | 2.8 | 1.83 | 49.91 | — | — | — | — | — | — | — | — | — | |
| STGCNpre-training=GPT-ST2023.11 | 2.82 | 1.82 | 49.15 | — | — | — | — | — | — | — | — | — | |
| MTGNNpre-training=none2023.11 | 2.82 | 1.84 | 51.45 | — | — | — | — | — | — | — | — | — | |
| DMVSTNETpre-training=GPT-ST2023.11 | 2.86 | 1.89 | 55.01 | — | — | — | — | — | — | — | — | — | |
| STGODEpre-training=GPT-ST2023.11 | 2.89 | 1.9 | 52.86 | — | — | — | — | — | — | — | — | — | |
| ASTGCNpre-training=GPT-ST2023.11 | 2.93 | 1.9 | 53.6 | — | — | — | — | — | — | — | — | — | |
| STWApre-training=none2023.11 | 2.96 | 1.89 | 50.07 | — | — | — | — | — | — | — | — | — | |
| GWNpre-training=none2023.11 | 2.98 | 1.9 | 53 | — | — | — | — | — | — | — | — | — | |
| MSDRpre-training=none2023.11 | 2.98 | 1.93 | 53.44 | — | — | — | — | — | — | — | — | — | |
| CCRNNpre-training=none2023.11 | 3.01 | 1.92 | 52.44 | — | — | — | — | — | — | — | — | — | |
| GWN*pre-training=GPT-ST2023.11 | 3.07 | 1.98 | 51.44 | — | — | — | — | — | — | — | — | — | |
| STMGCNpre-training=none2023.11 | 3.12 | 1.96 | 55.99 | — | — | — | — | — | — | — | — | — | |
| GWN*pre-training=none2023.11 | 3.12 | 2.02 | 55.16 | — | — | — | — | — | — | — | — | — | |
| GWN*pre-training=STEP2023.11 | 3.12 | 2.02 | 53.86 | — | — | — | — | — | — | — | — | — | |
| STFGNNpre-training=none2023.11 | 3.17 | 2.03 | 56.51 | — | — | — | — | — | — | — | — | — | |
| STSGCNpre-training=none2023.11 | 3.19 | 2.04 | 56.73 | — | — | — | — | — | — | — | — | — | |
| TGCNpre-training=GPT-ST2023.11 | 3.22 | 2 | 58.84 | — | — | — | — | — | — | — | — | — | |
| STGODEpre-training=none2023.11 | 3.27 | 2.08 | 56.47 | — | — | — | — | — | — | — | — | — | |
| STGCNpre-training=none2023.11 | 3.34 | 2.04 | 51.1 | — | — | — | — | — | — | — | — | — | |
| ASTGCNpre-training=none2023.11 | 3.35 | 2.06 | 55.18 | — | — | — | — | — | — | — | — | — | |
| DMVSTNETpre-training=none2023.11 | 3.65 | 2.27 | 61.89 | — | — | — | — | — | — | — | — | — | |
| TGCNpre-training=none2023.11 | 3.72 | 2.23 | 62.9 | — | — | — | — | — | — | — | — | — | |
| GSRNN2018.04 | 6.08 | — | — | — | — | — | — | — | — | — | — | — | |
| Joint Training2018.04 | 6.33 | — | — | — | — | — | — | — | — | — | — | — | |
| STResNet2018.04 | 6.33 | — | — | — | — | — | — | — | — | — | — | — | |
| Single Node2018.04 | 6.77 | — | — | — | — | — | — | — | — | — | — | — | |
| AGCRN2023.05 | — | — | — | 17.4 | 18.8 | 20.5 | 2.28 | 2.5 | 2.68 | 4.74 | 5.5 | 5.97 | |
| GTS2023.05 | — | — | — | 20.6 | 23.6 | 26.7 | 2.38 | 2.58 | 2.74 | 4.85 | 5.53 | 6.01 | |
| GW2023.05 | — | — | — | 18.2 | 19.5 | 20.9 | 2.35 | 2.57 | 2.75 | 4.83 | 5.56 | 6.06 | |
| LSTNet2023.05 | — | — | — | 21.2 | 22.3 | 23.8 | 2.71 | 2.91 | 3.15 | 5.8 | 6.34 | 6.97 | |
| MTGNN2023.05 | — | — | — | 18 | 19.5 | 20.9 | 2.35 | 2.57 | 2.73 | 4.87 | 5.69 | 6.18 | |
| SCINet2023.05 | — | — | — | 17.9 | 19.8 | 21.4 | 2.38 | 2.68 | 2.94 | 4.88 | 5.78 | 6.6 | |
| SCNN2023.05 | — | — | — | 16.5 | 17.3 | 18.4 | 2.13 | 2.27 | 2.4 | 4.44 | 5.02 | 5.42 | |
| ST-Norm2023.05 | — | — | — | 17.3 | 18.6 | 19.9 | 2.26 | 2.46 | 2.62 | 4.66 | 5.38 | 5.84 | |
| StemGNN2023.05 | — | — | — | 19 | 20.8 | 22.5 | 2.5 | 2.74 | 2.93 | 5.25 | 6.09 | 6.62 | |
| STG-NCDE2023.05 | — | — | — | 18.7 | 20.6 | 22.2 | 2.4 | 2.67 | 2.9 | 5.04 | 5.86 | 6.56 |