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ResearchFormerly WizWand

Node Classification on Computers (Accuracy %)

93.68Accuracy (%)Polynormer
25.372843.106460.8478.5736Nov 10, 2025Dec 19, 2025Jan 27, 2026Mar 7, 2026Apr 15, 2026May 24, 2026Jul 2, 2026
Updated 4mo ago

Evaluation results

MethodLinks
Polynormer2026.0793.68
DMbaGCNModel Type=Graph Mamba2025.1192.49
X-LogSMaskConfiguration=ours2026.0792.01
SGFormer2026.0791.99
SSGCModel Type=Deep GNN2025.1191.98
GPRGNNModel Type=Deep GNN2025.1191.8
DMbaGCN w/o GCAMbaModel Type=Graph Mamba2025.1191.74
SGCModel Type=GNN2025.1191.62
Exphormer2026.0791.47
NAGphormer2026.0791.22
X-LogSMaskLayers=12026.0791.21
GraphSAGE2026.0791.2
GraphGPS2026.0791.19
GTModel Type=Graph Transformer2025.1191.18
SpexphormerModel Type=Graph Transformer2025.1191.09
GCNModel Type=GNN2025.1191.07
GOAT2026.0790.96
GATModel Type=GNN2025.1190.94
GAT2026.0790.78
MbaGCNModel Type=Graph Mamba2025.1190.39
SANModel Type=Graph Transformer2025.1189.93
GCN2026.0789.65
APPNPModel Type=Deep GNN2025.1189.51
NodeFormer2026.0786.98
GCNIIModel Type=Deep GNN2025.1184.71
DMbaGCN w/o LSEMbaModel Type=Graph Mamba2025.1184.18
S2GAEPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0565.59
LR-GMPPre-training Strategy=Edgepred-Gprompt2026.0460.99
LR-GMPPre-training Strategy=Edgepred-GPPT2026.0460.35
LR-GMPPre-training Strategy=SGCL2026.0459.04
UniPromptPre-training Strategy=Edgepred-GPPT2026.0458.24
LR-GMPPre-training Strategy=SUGRL2026.0457.65
SCGFMPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0557.35
UniPromptPre-training Strategy=Edgepred-Gprompt2026.0457.28
UniPromptPre-training Strategy=SGCL2026.0456.39
GraphTOPPre-training Strategy=Edgepred-GPPT2026.0455.65
UniPromptPre-training Strategy=SUGRL2026.0453.97
GCOPEPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0553.7
GraphTOPPre-training Strategy=SGCL2026.0453.14
GraphTOPPre-training Strategy=Edgepred-Gprompt2026.0452.3
GraphTOPPre-training Strategy=SUGRL2026.0452.26
GraphACLPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0551.48
FTPre-training Strategy=Edgepred-GPPT2026.0450.98
EdgePromptPre-training Strategy=Edgepred-GPPT2026.0450.3
EdgePromptPre-training Strategy=Edgepred-Gprompt2026.0450.28
FTPre-training Strategy=SUGRL2026.0450.18
FTPre-training Strategy=Edgepred-Gprompt2026.0449.25
EdgePrompt+Pre-training Strategy=Edgepred-Gprompt2026.0447.91
EdgePrompt+Pre-training Strategy=Edgepred-GPPT2026.0447.91
EdgePromptPre-training Strategy=SGCL2026.0446.99
EdgePrompt+Pre-training Strategy=SGCL2026.0446.48
EdgePrompt+Pre-training Strategy=SUGRL2026.0446.32
EdgePromptPre-training Strategy=SUGRL2026.0444.93
GPFPre-training Strategy=Edgepred-GPPT2026.0443.14
DGIPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0542.18
GPF-plusPre-training Strategy=SGCL2026.0441.91
GPF-plusPre-training Strategy=Edgepred-Gprompt2026.0441.33
GPF-plusPre-training Strategy=SUGRL2026.0439.88
FTPre-training Strategy=SGCL2026.0439.58
GPFPre-training Strategy=SGCL2026.0439.35
GPFPre-training Strategy=SUGRL2026.0438.44
GPF-plusPre-training Strategy=Edgepred-GPPT2026.0438.18
All in OnePre-training Strategy=Edgepred-Gprompt2026.0436.93
All in OnePre-training Strategy=SGCL2026.0436.91
GPFPre-training Strategy=Edgepred-Gprompt2026.0436.11
All in OnePre-training Strategy=Edgepred-GPPT2026.0435.9
GITPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0535.76
All in OnePre-training Strategy=SUGRL2026.0434.55
GINPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0532.52
GraphMAEPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0531.86
RiemannGFMPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0531.44
GATPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0531.01
GraphCLPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0530.44
GCNPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.0528