Node Classification on Pubmed 1-shot
50.7AccuracyMTG
Evaluation results
| Method | Links | |
|---|---|---|
| MTG2026.06 | 50.7 | |
| GPF2026.06 | 49.99 | |
| R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 49.8 | |
| G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 49.71 | |
| GPPT2026.06 | 48.31 | |
| DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 47.1 | |
| Fine-tuning2026.06 | 46.74 | |
| GPF-plus2026.06 | 46.64 | |
| All-in-one2026.06 | 45.17 | |
| GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 45.11 | |
| GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 44.52 | |
| GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 44.29 | |
| RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 44.1 | |
| GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 43.66 | |
| MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 43.57 | |
| GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 42.94 | |
| FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 41.65 | |
| GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 41.64 | |
| H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.05 | 40.97 | |
| Gprompt2026.06 | 39.74 | |
| Supervised2026.06 | 39.37 | |
| GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 38.74 | |
| MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 38.42 | |
| GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.05 | 38.2 | |
| SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 37.95 | |
| GPMParadigm=Graph Foundation Models, Setup=1-shot2026.05 | 35.8 | |
| GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.05 | 26.62 |