Operator Learning on 1D Burgers s=256 (val)
0.0109Relative L2 ErrorLiNO
Evaluation results
| Method | Links | |
|---|---|---|
| LiNOOperator type=efficient scattering2026.06 | 0.0109 | |
| FNOOperator type=Fourier neural operator2026.06 | 0.0149 | |
| LNOOperator type=low-rank neural operator2026.06 | 0.0212 | |
| MGNOOperator type=multipole graph neural operator2026.06 | 0.0243 | |
| LiNOOperator type=full pairwise scattering2026.06 | 0.0319 | |
| DeepONetOperator type=branch–trunk neural operator2026.06 | 0.035 | |
| PCANNOperator type=PCA-based neural operator2026.06 | 0.0398 | |
| GCNOperator type=graph convolutional operator2026.06 | 0.04 | |
| NNOperator type=pointwise neural network2026.06 | 0.0471 | |
| GNOOperator type=graph kernel neural operator2026.06 | 0.0555 | |
| FCNOperator type=fully convolutional network2026.06 | 0.0958 |