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ResearchFormerly WizWand

Node Classification on Photo (accuracy)

95.84AccuracyVecFormer
88.861690.673392.48594.2967Oct 14, 2024Jan 22, 2025May 3, 2025Aug 11, 2025Nov 20, 2025Feb 28, 2026Jun 9, 2026
Updated 4mo ago

Evaluation results

MethodLinks
VecFormerCategory=VQ GT2026.0295.84
Sine-Poly(A)-shactivation=Sine, filter=shared2026.0295.69
Sine-Poly(A)-plactivation=Sine, filter=per-layer2026.0295.55
PolynormerCategory=GT2026.0295.44
sCWNc2026.0595.3
fCWN2026.0595.1
NAGphormerCategory=GT2026.0295.03
SAGEConv2026.0595
SGFormerCategory=GT2026.0294.81
CWN2026.0594.7
GATCategory=GNN2026.0294.46
GCNCategory=GNN2026.0294.44
ReLU-Poly(A)-shactivation=ReLU, filter=shared2026.0294.27
FD-MVGCLAttack=clean, Perturbation Ratio=15%2025.1194.27
ReLU-Poly(A)-plactivation=ReLU, filter=per-layer2026.0294.24
HGNN2026.0594.2
GraphGPSCategory=GT2026.0294.18
ExphormerCategory=GT2026.0294.1
SDMGAttack=clean, Perturbation Ratio=15%2025.1194.1
SDMGAttack=clean2025.0994.1
SDMG2025.0994.1
SAGECategory=GNN2026.0294.03
GCN2026.0593.9
NodeFormerCategory=GT2026.0293.82
GAT2026.0593.7
GiGaMAEMethod Category=Feature-based2024.1093.5
lrGAE 6Method Category=Structure-based2024.1093.5
GCN-MLPAttack=clean2025.0993.41
GCN-MLP2025.0993.41
S3GCLMethod Category=Standard GCL2024.1093.4
AUG-MAEMethod Category=Feature-based2024.1093.4
lrGAE 7Method Category=Structure-based2024.1093.4
GraphACLAttack=clean, Perturbation Ratio=15%2025.1193.31
GraphACLAttack=clean2025.0993.31
GraphACL2025.0993.31
GraphMAEMethod Category=Feature-based2024.1093.3
AFGRL2025.0993.25
BGRLMethod Category=Standard GCL2024.1093.2
GraphMAE2Method Category=Feature-based2024.1093.2
lrGAE 8Method Category=Structure-based2024.1093.2
CCA-SSG2025.0993.14
CCA-SSGMethod Category=Standard GCL2024.1093.1
S2GAEMethod Category=Structure-based2024.1093.1
EPAGCLAttack=clean, Perturbation Ratio=15%2025.1193.05
EPAGCLAttack=clean2025.0993.05
EPAGCL2025.0993.05
MaskGAEMethod Category=Structure-based2024.1093
GCN-MLPAttack=Random2025.0992.94
FRONDAttack=clean2025.0992.93
BGRL2025.0992.9
GCN-MLPAttack=PRBCD2025.0992.84
SeeGeraMethod Category=Feature-based2024.1092.8
FD-MVGCLAttack=PGD, Perturbation Ratio=15%2025.1192.58
Res-GRACEAttack=clean, Perturbation Ratio=15%2025.1192.5
GRACE2025.0992.5
SP-GCL2025.0992.49
GGDMethod Category=Standard GCL2024.1092.4
GCN-MLPAttack=Nettack2025.0992.34
Res-GRACEAttack=clean2025.0992.23
GOATCategory=GT2026.0292.11
GRACEMethod Category=Standard GCL2024.1092.1
FRONDAttack=clean, Perturbation Ratio=15%2025.1192.03
EPAGCLMethod Category=Standard GCL2024.1092
LG-GNN2026.0391.73
MVGRL2025.0991.72
DGI2025.0991.61
DGIMethod Category=Standard GCL2024.1091.6
RUM2026.0391.52
Res-GRACEAttack=Nettack2025.0991.51
GCL-JacAttack=clean2025.0991.46
PolyGCLAttack=clean, Perturbation Ratio=15%2025.1191.45
PolyGCLAttack=clean2025.0991.45
PolyGCL2025.0991.45
GraphSAGE2026.0291.4
CGNN2026.0291.39
PolyGCLAttack=Nettack2025.0991.29
GCN2026.0291.2
FRONDAttack=Nettack2025.0991.17
GCN-MLPAttack=Metattack2025.0991.14
PolyGCLAttack=Metattack2025.0991.06
SDMGAttack=Metattack2025.0990.78
GMI2025.0990.72
GPRGNN2026.0390.52
GCL-JacAttack=Nettack2025.0990.5
GAT2026.0390.32
SDMGAttack=Nettack2025.0990.29
PolyGCLAttack=Random2025.0990.17
FRONDAttack=Random2025.0989.9
SDMGAttack=Random2025.0989.9
GAEMethod Category=Structure-based2024.1089.9
SGC2026.0589.8
PolyGCLAttack=PRBCD2025.0989.65
FRONDAttack=Metattack2025.0989.61
EPAGCLAttack=Nettack2025.0989.59
GNFBC2026.0389.54
SDMGAttack=PRBCD2025.0989.42
ERAlignGNNCategory=Ours, Supervision Setting=full-supervised2026.0689.38
GCN2026.0389.32
RAW-GNN2026.0389.14
SERBackbone=GT, Regularization Strategy=Structure Entropy Regularization2026.0589.13