Node Classification on Cornell 1-shot
36.71AccuracyR-GFM
Evaluation Results
| Method | Links | |
|---|---|---|
| R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 36.71 | |
| GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 36.22 | |
| SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 36.22 | |
| G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 32.96 | |
| GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 31.35 | |
| RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 31.35 | |
| DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 29.73 | |
| H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 29.3 | |
| GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 29.19 | |
| FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 28.72 | |
| GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 28.65 | |
| GPMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 27.83 | |
| MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 26.49 | |
| GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 25.41 | |
| GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 25.41 | |
| GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 25 | |
| GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 19.53 | |
| MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 17.14 | |
| GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 16.51 |