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ResearchFormerly WizWand

Node Classification on Wisconsin 1-shot

35.41AccuracyR-GFM
16.11821.126526.13531.1435May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.0535.41
G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.0534.7
GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0532.16
RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.0531.2
MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0529.82
GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0529.41
GPMParadigm=Graph Foundation Models, Setup=1-shot2026.0529.19
GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.0528.69
DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0528.24
FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0526.19
GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.0523.53
GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.0523.53
SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.0521.57
GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.0520.39
H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0520.34
MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.0517.65
GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0517.46
GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.0516.86
GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.0516.86