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ResearchFormerly WizWand

Node Classification on Texas 1-shot

32.36AccuracyR-GFM
17.821.5825.3629.14May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
R-GFMParadigm=Graph Foundation Models, Setup=1-shot2026.0532.36
SAMGPTParadigm=Graph Foundation Models, Setup=1-shot2026.0531.89
MDGFMParadigm=Graph Foundation Models, Setup=1-shot2026.0531.54
FAGCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0531.35
GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0531.35
G2PMParadigm=Graph Foundation Models, Setup=1-shot2026.0530.37
H2GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0529.94
DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0529.73
RiemannGFMParadigm=Graph Foundation Models, Setup=1-shot2026.0529.12
GPFParadigm=Prompt-based Adaptation, Setup=1-shot2026.0528.65
GPMParadigm=Graph Foundation Models, Setup=1-shot2026.0527.7
MixHopParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0526.09
GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Setup=1-shot2026.0524.86
GraphPromptParadigm=Prompt-based Adaptation, Setup=1-shot2026.0524.32
GCOPEParadigm=Graph Foundation Models, Setup=1-shot2026.0519.5
GraphPrompt+Paradigm=Prompt-based Adaptation, Setup=1-shot2026.0519.46
GCNParadigm=Task-Supervised GNNs, Setup=1-shot2026.0518.48
GPPTParadigm=Prompt-based Adaptation, Setup=1-shot2026.0518.38
GATParadigm=Task-Supervised GNNs, Setup=1-shot2026.0518.36