Neural PDE Solving on FitzHugh-Nagumo
0MSEDGNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DGNetApproach=discrete Green's function embedding2026.03 | 0 | 0.0952 | — | |
| DGNetTraining Regime=limited-trajectory2026.03 | 0 | 0.0952 | — | |
| DeepONetTraining Regime=limited-trajectory2026.03 | 0 | 0.9745 | — | |
| SINGERArchitecture=multi-scale architecture2026.03 | 0 | 1.3844 | — | |
| MP-PDETraining Regime=limited-trajectory2026.03 | 0 | 1.4454 | — | |
| TransolverArchitecture=Transformer architecture2026.03 | 0 | 0.6729 | — | |
| AMG (Harnessing)Architecture=graph-based architecture2026.03 | 0 | 2.4837 | — | |
| MGNTraining Regime=limited-trajectory2026.03 | 0 | 3.4815 | — | |
| BENOTraining Regime=limited-trajectory2026.03 | 0.0002 | 8.3106 | — | |
| PhyMPGNTraining Regime=limited-trajectory2026.03 | 0.0017 | 23.5696 | — | |
| BENOInference mode=single-trajectory2026.03 | — | — | 67.32 | |
| DeepONetInference mode=single-trajectory2026.03 | — | — | 106.52 | |
| DGNetInference mode=single-trajectory2026.03 | — | — | 23.78 | |
| MGNInference mode=single-trajectory2026.03 | — | — | 15.48 | |
| MP-PDEInference mode=single-trajectory2026.03 | — | — | 45.23 | |
| PhyMPGNInference mode=single-trajectory2026.03 | — | — | 10.72 |