Node Classification on Texas 1-shot
32.36AccuracyR-GFM
Evaluation Results
| Method | Links | |
|---|---|---|
| R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 32.36 | |
| SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 31.89 | |
| MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 31.54 | |
| FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 31.35 | |
| GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 31.35 | |
| G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 30.37 | |
| H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 29.94 | |
| DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 29.73 | |
| RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 29.12 | |
| GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 28.65 | |
| GPMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 27.7 | |
| MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 26.09 | |
| GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 24.86 | |
| GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 24.32 | |
| GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 19.5 | |
| GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 19.46 | |
| GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 18.48 | |
| GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 18.38 | |
| GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 18.36 |