Irregularly Sampled Time Series Forecasting on MIMIC
0.3909MSEASTGI
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ASTGI2025.09 | 0.3909 | 0.3852 | |
| Hi-Patch2025.09 | 0.4279 | 0.4033 | |
| Warpformer2025.09 | 0.4302 | 0.4025 | |
| GraFITi2025.09 | 0.4359 | 0.4142 | |
| tPatchGNN2025.09 | 0.4431 | 0.4077 | |
| GRU-D2025.09 | 0.4759 | 0.4526 | |
| CRU2025.09 | 0.5895 | 0.5151 | |
| NeuralFlows2025.09 | 0.6085 | 0.5306 | |
| Raindrop2025.09 | 0.6754 | 0.5444 | |
| GNeuralFlow2025.09 | 0.8957 | 0.645 | |
| PrimeNet2025.09 | 0.9073 | 0.6614 | |
| SeFT2025.09 | 0.923 | 0.6628 | |
| mTAN2025.09 | 0.9408 | 0.6755 | |
| MM-ISTS2026.03 | 1.63 | 6.85 | |
| T-PatchGNN2026.03 | 1.66 | 7.21 | |
| KAFNet2026.03 | 1.7 | 7.23 | |
| ISTS-PLM2026.03 | 1.72 | 7.18 | |
| StemGNN2026.03 | 1.73 | 7.71 | |
| Warpformer2026.03 | 1.73 | 7.58 | |
| GRU-D2026.03 | 1.76 | 7.53 | |
| mTAND2026.03 | 1.85 | 7.73 | |
| SeFT2026.03 | 1.87 | 7.84 | |
| Neural Flow2026.03 | 1.87 | 8.03 | |
| Latent-ODE2026.03 | 1.89 | 8.11 | |
| CRU2026.03 | 1.97 | 7.93 | |
| RainDrop2026.03 | 1.99 | 8.27 | |
| FourierGNN2026.03 | 2.55 | 10.22 | |
| Crossformer2026.03 | 2.65 | 9.56 | |
| MTGNN2026.03 | 2.71 | 9.55 | |
| Graph Wavenet2026.03 | 2.93 | 10.5 | |
| CrossGNN2026.03 | 2.95 | 10.82 | |
| PatchTST2026.03 | 3.78 | 12.43 | |
| DLinear2026.03 | 4.9 | 16.29 | |
| TimesNet2026.03 | 5.88 | 13.62 |