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ResearchFormerly WizWand

Node Classification on Cornell 1-shot

36.71AccuracyR-GFM
15.70221.15626.6132.064May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.0536.71
GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.0536.22
SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.0536.22
G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.0532.96
GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0531.35
RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.0531.35
DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0529.73
H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0529.3
GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.0529.19
FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0528.72
GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.0528.65
GPMParadigm=Graph Foundation Models, Setup=1-shot2026.0527.83
MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.0526.49
GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0525.41
GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.0525.41
GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.0525
GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0519.53
MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0517.14
GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.0516.51