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ResearchFormerly WizWand

Neural Super-Resolution for Mesh-Based Simulations on Dataset 2

0.0461RMSEFully supervised
0.0427240.0655120.08830.111088May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
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=MGN2026.050.0461
Fully supervisedNh, N=200, 200, MPNN Architecture=MGN2026.050.0461
SuperMeshNetNh (number of HR data)=20, N (number of low-resolution data)=200, Inductive biases=with inductive biases, Supervision type=partial supervision, Base architecture=MGN2026.050.0507
SuperMeshNetNh, N=20, 200, MPNN Architecture=MGN2026.050.0507
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=MGN2026.050.0514
Fully supervisedNh, N=200, 200, MPNN Architecture=GIN2026.050.0534
SuperMeshNetNh, N=20, 200, MPNN Architecture=GIN2026.050.0537
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GIN2026.050.0569
Fully supervisedNh, N=200, 200, MPNN Architecture=GTR2026.050.0572
SuperMeshNetNh, N=20, 200, MPNN Architecture=GCN2026.050.0574
SuperMeshNetNh, N=20, 200, MPNN Architecture=GTR2026.050.06
Fully supervisedNh, N=200, 200, MPNN Architecture=GCN2026.050.0624
SuperMeshNetNh, N=20, 200, MPNN Architecture=SAGE2026.050.0624
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GTR2026.050.0631
Fully supervisedNh, N=200, 200, MPNN Architecture=SAGE2026.050.0633
SuperMeshNetNh, N=20, 200, MPNN Architecture=GAT2026.050.0634
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GCN2026.050.0636
Fully supervisedNh, N=200, 200, MPNN Architecture=GAT2026.050.0637
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=SAGE2026.050.0664
SuperMeshNet-ONh, N=20, 200, MPNN Architecture=GAT2026.050.068
Fully supervisedNh, N=20, 20, MPNN Architecture=MGN2026.050.073
Fully supervisedNh, N=20, 20, MPNN Architecture=GIN2026.050.0775
Fully supervisedNh, N=20, 20, MPNN Architecture=GCN2026.050.0972
Fully supervisedNh, N=20, 20, MPNN Architecture=GAT2026.050.0983
Fully supervisedNh, N=20, 20, MPNN Architecture=GTR2026.050.0983
Fully supervisedNh, N=20, 20, MPNN Architecture=SAGE2026.050.1025
MAgNetNh (number of HR data)=0, N (number of low-resolution data)=200, Supervision type=no HR supervision (zero-shot)2026.050.1305