Node Classification on Physics (Accuracy %)
97.68AccuracyX-LogSMask
Evaluation Results
| Method | Links | |
|---|---|---|
| X-LogSMaskConfiguration=ours2026.07 | 97.68 | |
| X-LogSMaskLayers=12026.07 | 97.65 | |
| GCNapplied_enhancement=Transductive Sharpening2026.05 | 97.44 | |
| GraphTARIF2026.05 | 97.39 | |
| GCN2026.05 | 97.38 | |
| GATapplied_enhancement=Transductive Sharpening2026.05 | 97.38 | |
| NAGphormer2026.05 | 97.35 | |
| NAGphormer2026.07 | 97.34 | |
| Polynormer2026.07 | 97.27 | |
| GAT2026.05 | 97.26 | |
| SAGE2026.05 | 97.25 | |
| SAGEapplied_enhancement=Transductive Sharpening2026.05 | 97.23 | |
| Polynormer2026.05 | 97.18 | |
| DMbaGCNModel Type=Graph Mamba2025.11 | 97.13 | |
| GraphGPS2026.07 | 97.12 | |
| GCNIIModel Type=Deep GNN2025.11 | 97.09 | |
| Exphormer2026.05 | 97.06 | |
| GPRGNNModel Type=Deep GNN2025.11 | 97.05 | |
| GTModel Type=Graph Transformer2025.11 | 97.05 | |
| APPNPModel Type=Deep GNN2025.11 | 97.01 | |
| Exphormer2026.07 | 96.89 | |
| SGFormer2026.05 | 96.75 | |
| GraphGPS2026.05 | 96.71 | |
| SpexphormerModel Type=Graph Transformer2025.11 | 96.7 | |
| MbaGCNModel Type=Graph Mamba2025.11 | 96.64 | |
| SSGCModel Type=Deep GNN2025.11 | 96.6 | |
| SGFormer2026.07 | 96.6 | |
| GraphSAGE2026.07 | 96.49 | |
| NodeFormer2026.05 | 96.48 | |
| GOAT2026.05 | 96.47 | |
| NodeFormer2026.07 | 96.45 | |
| GATModel Type=GNN2025.11 | 96.43 | |
| SGCModel Type=GNN2025.11 | 96.43 | |
| DMbaGCN w/o GCAMbaModel Type=Graph Mamba2025.11 | 96.37 | |
| GCNModel Type=GNN2025.11 | 96.34 | |
| RADE-OFBackbone=GIN2026.05 | 96.25 | |
| RADE-OFSBackbone=GIN2026.05 | 96.24 | |
| GOAT2026.07 | 96.24 | |
| DropMessageBackbone=GIN2026.05 | 96.2 | |
| GCN2026.07 | 96.18 | |
| GAT2026.07 | 96.17 | |
| RADE-OFBackbone=GAT2026.05 | 96.03 | |
| DropoutBackbone=GIN2026.05 | 96.01 | |
| DropEdgeBackbone=GAT2026.05 | 96.01 | |
| DropNodeBackbone=GAT2026.05 | 96.01 | |
| MLPapplied_enhancement=Transductive Sharpening2026.05 | 95.98 | |
| MLP2026.05 | 95.97 | |
| DropNodeBackbone=GIN2026.05 | 95.97 | |
| DropEdgeBackbone=GIN2026.05 | 95.96 | |
| DropMessageBackbone=GAT2026.05 | 95.96 | |
| DropoutBackbone=GAT2026.05 | 95.95 | |
| RADE-OFSBackbone=GAT2026.05 | 95.93 | |
| GATBackbone=GAT2026.05 | 95.9 | |
| GINBackbone=GIN2026.05 | 95.77 | |
| DMbaGCN w/o LSEMbaModel Type=Graph Mamba2025.11 | 95.71 | |
| LR-GMPPre-training Strategy=Edgepred-GPPT2026.04 | 85.08 | |
| LR-GMPPre-training Strategy=Edgepred-Gprompt2026.04 | 84.93 | |
| LR-GMPPre-training Strategy=SGCL2026.04 | 84.9 | |
| LR-GMPPre-training Strategy=SUGRL2026.04 | 84.85 | |
| UniPromptPre-training Strategy=SUGRL2026.04 | 82.81 | |
| UniPromptPre-training Strategy=Edgepred-GPPT2026.04 | 82.02 | |
| UniPromptPre-training Strategy=SGCL2026.04 | 81.14 | |
| UniPromptPre-training Strategy=Edgepred-Gprompt2026.04 | 81.03 | |
| GraphTOPPre-training Strategy=SUGRL2026.04 | 80.95 | |
| EdgePromptPre-training Strategy=Edgepred-Gprompt2026.04 | 80.8 | |
| GraphTOPPre-training Strategy=Edgepred-Gprompt2026.04 | 80.8 | |
| GraphTOPPre-training Strategy=Edgepred-GPPT2026.04 | 80.79 | |
| EdgePromptPre-training Strategy=Edgepred-GPPT2026.04 | 80.78 | |
| GraphTOPPre-training Strategy=SGCL2026.04 | 80.75 | |
| GPFPre-training Strategy=Edgepred-Gprompt2026.04 | 80.7 | |
| EdgePrompt+Pre-training Strategy=Edgepred-Gprompt2026.04 | 80.7 | |
| GPF-plusPre-training Strategy=Edgepred-Gprompt2026.04 | 80.69 | |
| GPF-plusPre-training Strategy=SGCL2026.04 | 80.58 | |
| GPFPre-training Strategy=SUGRL2026.04 | 80.54 | |
| GPFPre-training Strategy=SGCL2026.04 | 80.36 | |
| EdgePrompt+Pre-training Strategy=Edgepred-GPPT2026.04 | 80.36 | |
| GPF-plusPre-training Strategy=SUGRL2026.04 | 80.26 | |
| GPFPre-training Strategy=Edgepred-GPPT2026.04 | 80.26 | |
| GPF-plusPre-training Strategy=Edgepred-GPPT2026.04 | 80.15 | |
| EdgePrompt+Pre-training Strategy=SUGRL2026.04 | 80.01 | |
| EdgePrompt+Pre-training Strategy=SGCL2026.04 | 79.81 | |
| EdgePromptPre-training Strategy=SUGRL2026.04 | 78.92 | |
| EdgePromptPre-training Strategy=SGCL2026.04 | 77.86 | |
| FTPre-training Strategy=SUGRL2026.04 | 76.57 | |
| FTPre-training Strategy=SGCL2026.04 | 75.74 | |
| All in OnePre-training Strategy=SUGRL2026.04 | 74.56 | |
| FTPre-training Strategy=Edgepred-GPPT2026.04 | 71.25 | |
| All in OnePre-training Strategy=SGCL2026.04 | 71.05 | |
| FTPre-training Strategy=Edgepred-Gprompt2026.04 | 67.56 | |
| All in OnePre-training Strategy=Edgepred-GPPT2026.04 | 66.58 | |
| All in OnePre-training Strategy=Edgepred-Gprompt2026.04 | 65.73 |