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ResearchFormerly WizWand

Node Classification on Physics (Accuracy %)

97.68AccuracyX-LogSMask
64.45273.078581.70590.3315Nov 10, 2025Dec 19, 2025Jan 27, 2026Mar 7, 2026Apr 15, 2026May 24, 2026Jul 2, 2026
Updated 4mo ago

Evaluation results

MethodLinks
X-LogSMaskConfiguration=ours2026.0797.68
X-LogSMaskLayers=12026.0797.65
GCNapplied_enhancement=Transductive Sharpening2026.0597.44
GraphTARIF2026.0597.39
GCN2026.0597.38
GATapplied_enhancement=Transductive Sharpening2026.0597.38
NAGphormer2026.0597.35
NAGphormer2026.0797.34
Polynormer2026.0797.27
GAT2026.0597.26
SAGE2026.0597.25
SAGEapplied_enhancement=Transductive Sharpening2026.0597.23
Polynormer2026.0597.18
DMbaGCNModel Type=Graph Mamba2025.1197.13
GraphGPS2026.0797.12
GCNIIModel Type=Deep GNN2025.1197.09
Exphormer2026.0597.06
GPRGNNModel Type=Deep GNN2025.1197.05
GTModel Type=Graph Transformer2025.1197.05
APPNPModel Type=Deep GNN2025.1197.01
Exphormer2026.0796.89
SGFormer2026.0596.75
GraphGPS2026.0596.71
SpexphormerModel Type=Graph Transformer2025.1196.7
MbaGCNModel Type=Graph Mamba2025.1196.64
SSGCModel Type=Deep GNN2025.1196.6
SGFormer2026.0796.6
GraphSAGE2026.0796.49
NodeFormer2026.0596.48
GOAT2026.0596.47
NodeFormer2026.0796.45
GATModel Type=GNN2025.1196.43
SGCModel Type=GNN2025.1196.43
DMbaGCN w/o GCAMbaModel Type=Graph Mamba2025.1196.37
GCNModel Type=GNN2025.1196.34
RADE-OFBackbone=GIN2026.0596.25
RADE-OFSBackbone=GIN2026.0596.24
GOAT2026.0796.24
DropMessageBackbone=GIN2026.0596.2
GCN2026.0796.18
GAT2026.0796.17
RADE-OFBackbone=GAT2026.0596.03
DropoutBackbone=GIN2026.0596.01
DropEdgeBackbone=GAT2026.0596.01
DropNodeBackbone=GAT2026.0596.01
MLPapplied_enhancement=Transductive Sharpening2026.0595.98
MLP2026.0595.97
DropNodeBackbone=GIN2026.0595.97
DropEdgeBackbone=GIN2026.0595.96
DropMessageBackbone=GAT2026.0595.96
DropoutBackbone=GAT2026.0595.95
RADE-OFSBackbone=GAT2026.0595.93
GATBackbone=GAT2026.0595.9
GINBackbone=GIN2026.0595.77
DMbaGCN w/o LSEMbaModel Type=Graph Mamba2025.1195.71
LR-GMPPre-training Strategy=Edgepred-GPPT2026.0485.08
LR-GMPPre-training Strategy=Edgepred-Gprompt2026.0484.93
LR-GMPPre-training Strategy=SGCL2026.0484.9
LR-GMPPre-training Strategy=SUGRL2026.0484.85
UniPromptPre-training Strategy=SUGRL2026.0482.81
UniPromptPre-training Strategy=Edgepred-GPPT2026.0482.02
UniPromptPre-training Strategy=SGCL2026.0481.14
UniPromptPre-training Strategy=Edgepred-Gprompt2026.0481.03
GraphTOPPre-training Strategy=SUGRL2026.0480.95
EdgePromptPre-training Strategy=Edgepred-Gprompt2026.0480.8
GraphTOPPre-training Strategy=Edgepred-Gprompt2026.0480.8
GraphTOPPre-training Strategy=Edgepred-GPPT2026.0480.79
EdgePromptPre-training Strategy=Edgepred-GPPT2026.0480.78
GraphTOPPre-training Strategy=SGCL2026.0480.75
GPFPre-training Strategy=Edgepred-Gprompt2026.0480.7
EdgePrompt+Pre-training Strategy=Edgepred-Gprompt2026.0480.7
GPF-plusPre-training Strategy=Edgepred-Gprompt2026.0480.69
GPF-plusPre-training Strategy=SGCL2026.0480.58
GPFPre-training Strategy=SUGRL2026.0480.54
GPFPre-training Strategy=SGCL2026.0480.36
EdgePrompt+Pre-training Strategy=Edgepred-GPPT2026.0480.36
GPF-plusPre-training Strategy=SUGRL2026.0480.26
GPFPre-training Strategy=Edgepred-GPPT2026.0480.26
GPF-plusPre-training Strategy=Edgepred-GPPT2026.0480.15
EdgePrompt+Pre-training Strategy=SUGRL2026.0480.01
EdgePrompt+Pre-training Strategy=SGCL2026.0479.81
EdgePromptPre-training Strategy=SUGRL2026.0478.92
EdgePromptPre-training Strategy=SGCL2026.0477.86
FTPre-training Strategy=SUGRL2026.0476.57
FTPre-training Strategy=SGCL2026.0475.74
All in OnePre-training Strategy=SUGRL2026.0474.56
FTPre-training Strategy=Edgepred-GPPT2026.0471.25
All in OnePre-training Strategy=SGCL2026.0471.05
FTPre-training Strategy=Edgepred-Gprompt2026.0467.56
All in OnePre-training Strategy=Edgepred-GPPT2026.0466.58
All in OnePre-training Strategy=Edgepred-Gprompt2026.0465.73