Irregularly Sampled Time Series Forecasting on USHCN
5.03MSET-PatchGNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| T-PatchGNN2026.03 | 5.03 | 3.14 | |
| MM-ISTS2026.03 | 5.1 | 2.94 | |
| KAFNet2026.03 | 5.19 | 3.17 | |
| Crossformer2026.03 | 5.25 | 3.27 | |
| Warpformer2026.03 | 5.25 | 3.23 | |
| ISTS-PLM2026.03 | 5.28 | 3.03 | |
| Graph Wavenet2026.03 | 5.29 | 3.16 | |
| mTAND2026.03 | 5.33 | 3.26 | |
| Neural Flow2026.03 | 5.35 | 3.25 | |
| MTGNN2026.03 | 5.39 | 3.34 | |
| GRU-D2026.03 | 5.54 | 3.4 | |
| TimesNet2026.03 | 5.58 | 3.6 | |
| Latent-ODE2026.03 | 5.62 | 3.6 | |
| CrossGNN2026.03 | 5.66 | 3.53 | |
| PatchTST2026.03 | 5.75 | 3.57 | |
| StemGNN2026.03 | 5.75 | 3.4 | |
| RainDrop2026.03 | 5.78 | 3.67 | |
| SeFT2026.03 | 5.8 | 3.7 | |
| FourierGNN2026.03 | 5.82 | 3.62 | |
| CRU2026.03 | 6.09 | 3.54 | |
| DLinear2026.03 | 6.21 | 3.88 |