Node Classification on Cora 1-shot (Accuracy)
58.54AccuracyMTG
Evaluation results
| Method | Links | |
|---|---|---|
| MTG2026.06 | 58.54 | |
| Gprompt2026.06 | 56.66 | |
| GPF-plus2026.06 | 55.77 | |
| Fine-tuning2026.06 | 52.61 | |
| All-in-one2026.06 | 52.39 | |
| R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 49.5 | |
| RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 43.48 | |
| GPPT2026.06 | 43.15 | |
| SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 43.08 | |
| MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 42.88 | |
| GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 40.6 | |
| G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 40.04 | |
| DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 39.88 | |
| GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 39.05 | |
| GPMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 38.96 | |
| GPF2026.06 | 38.57 | |
| GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 36.96 | |
| GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 35.26 | |
| GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 34.74 | |
| GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 33.68 | |
| GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 31.98 | |
| GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 29.76 | |
| GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 26.81 | |
| Supervised2026.06 | 26.56 | |
| H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 23.61 | |
| MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 21.46 | |
| FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 20.75 |