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ResearchFormerly WizWand

Neural Super-Resolution for Mesh-Based Simulations on Dataset 1

0.0226RMSESuperMeshNet
0.0195880.0399190.060250.080581May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SuperMeshNetNh (number of HR data)=20, N (number of low-resolution data)=200, Inductive biases=with inductive biases, Supervision type=partial supervision, Base architecture=MGN2026.050.0226
SuperMeshNetNh, N=20, 200, MPNN Architecture=MGN2026.050.0226
Fully supervisedNh (number of HR data)=200, N (number of low-resolution data)=200, Inductive biases=without inductive biases, Supervision type=full supervision, Base architecture=MGN2026.050.0228
Fully supervisedNh, N=200, 200, MPNN Architecture=MGN2026.050.0228
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=MGN2026.050.0269
SuperMeshNetNh, N=20, 200, MPNN Architecture=GIN2026.050.0277
Fully supervisedNh, N=200, 200, MPNN Architecture=GIN2026.050.0381
SuperMeshNetNh, N=20, 200, MPNN Architecture=GTR2026.050.0385
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GIN2026.050.0404
SuperMeshNetNh, N=20, 200, MPNN Architecture=GCN2026.050.0431
Fully supervisedNh, N=200, 200, MPNN Architecture=GTR2026.050.045
SuperMeshNetNh, N=20, 200, MPNN Architecture=SAGE2026.050.045
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GTR2026.050.0451
SuperMeshNetNh, N=20, 200, MPNN Architecture=GAT2026.050.0457
Fully supervisedNh, N=200, 200, MPNN Architecture=GAT2026.050.0512
Fully supervisedNh, N=200, 200, MPNN Architecture=SAGE2026.050.0544
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GAT2026.050.0544
Fully supervisedNh, N=200, 200, MPNN Architecture=GCN2026.050.0575
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=SAGE2026.050.0589
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GCN2026.050.0613
Fully supervisedNh, N=20, 20, MPNN Architecture=MGN2026.050.0655
Fully supervisedNh, N=20, 20, MPNN Architecture=GTR2026.050.0758
Fully supervisedNh, N=20, 20, MPNN Architecture=GIN2026.050.0819
Fully supervisedNh, N=20, 20, MPNN Architecture=GAT2026.050.0826
Fully supervisedNh, N=20, 20, MPNN Architecture=GCN2026.050.0874
Fully supervisedNh, N=20, 20, MPNN Architecture=SAGE2026.050.0876
MAgNetNh (number of HR data)=0, N (number of low-resolution data)=200, Supervision type=no HR supervision (zero-shot)2026.050.0979