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ResearchFormerly WizWand

Node Classification on Computers (accuracy)

88.48AccuracyCD-GNN
45.819256.894667.9779.0454Aug 5, 2025Sep 22, 2025Nov 10, 2025Dec 29, 2025Feb 16, 2026Apr 6, 2026May 25, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CD-GNN2026.0488.48
TFIRatio (%)=3.132025.1088.27
MIRatio (%)=3.132025.1087.67
NPTRatio (%)=3.132025.1086.92
MIRatio (%)=1.562025.1086.87
TFIRatio (%)=1.562025.1086.65
GAT2026.0484.47
TFIRatio (%)=6.252025.1084.47
MIRatio (%)=6.252025.1083.82
P-regBackbone=GT, Regularization Strategy=P-reg2026.0582.56
SERBackbone=GT, Regularization Strategy=Structure Entropy Regularization2026.0581.19
NPTRatio (%)=6.252025.1081
NPTRatio (%)=1.562025.1080.92
CPBackbone=GT, Regularization Strategy=Canonical Polyadic2026.0580.42
NASABackbone=GT, Regularization Strategy=NASA2026.0578.08
LapRBackbone=GT, Regularization Strategy=Laplacian Regularization2026.0578.03
VanillaBackbone=GT, Regularization Strategy=None2026.0577.12
MDGMIXShot=10-shot2026.0575.57
SERBackbone=GAT2026.0575.27
BRIDGEShot=10-shot2026.0574.79
P-regBackbone=GAT2026.0574.41
GRAPHGLUEtransfer_type=intra-domain, shots=5-shot2026.0274.15
CPBackbone=GAT2026.0574.14
VanillaBackbone=GAT2026.0573.85
GCOPEShot=10-shot2026.0573.69
LapRBackbone=GAT2026.0573.59
SERBackbone=GCN2026.0573.58
LapRBackbone=GCN2026.0573.49
GFTtransfer_type=intra-domain, shots=5-shot2026.0273.41
GCOPEtransfer_type=intra-domain, shots=5-shot2026.0273.06
NASABackbone=GAT2026.0572.84
SAMGPTShot=10-shot2026.0572.29
P-regBackbone=GCN2026.0572.22
MDGMIXShot=5-shot2026.0572.1
NASABackbone=GCN2026.0571.96
MDGFMShot=10-shot2026.0571.42
GCOPEShot=5-shot2026.0571.21
BRIDGEShot=5-shot2026.0571.12
CAT2026.0471.11
GINtransfer_type=intra-domain, shots=5-shot2026.0269.51
VanillaBackbone=GCN2026.0569.51
MDGPTShot=10-shot2026.0569.46
MDGFMShot=5-shot2026.0569.3
R-regBackbone=GCN2026.0569.1
SAMGPTShot=5-shot2026.0569.04
MDGMIXShot=3-shot2026.0568.3
GCOPEShot=3-shot2026.0568.27
MDGFMtransfer_type=intra-domain, shots=5-shot2026.0268.19
CPBackbone=GCN2026.0567.64
BRIDGEShot=3-shot2026.0567.51
MDGFMShot=3-shot2026.0567.15
GraphSAGEtransfer_type=intra-domain, shots=5-shot2026.0266.75
GCNtransfer_type=intra-domain, shots=5-shot2026.0265.78
GraphMAEtransfer_type=intra-domain, shots=5-shot2026.0265.78
MDGPTShot=5-shot2026.0565.17
GCN2026.0464.8
SAMGPTtransfer_type=intra-domain, shots=5-shot2026.0264.68
LatGRL2026.0464.61
SAMGPTShot=3-shot2026.0563.55
R-regBackbone=GAT2026.0562.8
GCCtransfer_type=intra-domain, shots=5-shot2026.0262.63
RAGraphtransfer_type=intra-domain, shots=5-shot2026.0261.98
DGItransfer_type=intra-domain, shots=5-shot2026.0261.02
R-GFMParadigm=Graph Foundation Models, Shots=52026.0559.55
GRAPHGLUEsetting=1-shot, transfer=cross-domain2026.0259.5
MDGPTShot=3-shot2026.0559.28
SAMGPTParadigm=Graph Foundation Models, Shots=52026.0558.81
GraphCLParadigm=Self-Supervised Pretraining with Fine-tuning, Shots=52026.0557.78
GraphPrompt+Paradigm=Prompt-based Adaptation, Shots=52026.0557.04
GGCN2026.0456.04
R-GFMadaptation strategy=Foundation Model, shot=32026.0556.02
CAGNN2026.0455.92
HiTeC2025.0855.81
GCOPEParadigm=Graph Foundation Models, Shots=52026.0555.76
SAMGPTadaptation strategy=Foundation Model, shot=32026.0555.27
R-regBackbone=GT, Regularization Strategy=R-reg2026.0554.69
GFTsetting=1-shot, transfer=cross-domain2026.0254.65
GCOPEsetting=1-shot, transfer=cross-domain2026.0254.55
GraphPrompt+adaptation strategy=Prompt-based, shot=32026.0554.43
GraphSAGE2026.0454.33
MDGMIXsetting=one-shot2026.0554.1
BRIDGEsetting=one-shot2026.0553.61
GCOPEsetting=one-shot2026.0553.28
GCOPEadaptation strategy=Foundation Model, shot=32026.0553.01
PRODIGYtransfer_type=intra-domain, shots=5-shot2026.0252.78
SimGRACEsetting=one-shot2026.0552.05
DGIParadigm=Self-Supervised Pretraining with Fine-tuning, Shots=52026.0552.03
GraphACLParadigm=Self-Supervised Pretraining with Fine-tuning, Shots=52026.0551.6
SAMGPTsetting=one-shot2026.0551.14
EdgePrompt+setting=one-shot2026.0550.9
GPPTadaptation strategy=Prompt-based, shot=32026.0549.7
MDGFMParadigm=Graph Foundation Models, Shots=52026.0549.68
GraphCLadaptation strategy=Fine-tuning, shot=32026.0549.62
FAGCN2026.0449.57
MDGPTsetting=one-shot2026.0549
RiemannGFMParadigm=Graph Foundation Models, Shots=52026.0548.93
MDGFMadaptation strategy=Foundation Model, shot=32026.0548.44
GraphPromptParadigm=Prompt-based Adaptation, Shots=52026.0548.43
SAMGPTsetting=1-shot, transfer=cross-domain2026.0247.61
GPFParadigm=Prompt-based Adaptation, Shots=52026.0547.46