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Unsupervised Clustering on ADNI CN vs AD

78.5AccuracyGAT
50.52457.78765.0572.313May 25, 2026

Evaluation results

MethodLinks
GATLoss Function=Mod, lambda_con=N/A2026.0578.572.276.274.1
ARMALoss Function=Mod + DGI, lambda_con=0.092026.0577.969.580.374.5
GATLoss Function=Cut + MERIT, lambda_con=12026.0577.671.873.772.5
GATLoss Function=Mod + MERIT, lambda_con=0.52026.0577.571.275.172.9
GATLoss Function=Mod + DGI, lambda_con=12026.0577.472.670.671.5
GATLoss Function=Cut + DGI, lambda_con=12026.0577.472.870.471.6
GCNLoss Function=Mod + DGI[27], lambda_con=0.012026.0577.371.173.772.4
K-MeansLoss Function=None, lambda_con=None2026.0577.175.364.469.5
GATLoss Function=Cut, lambda_con=N/A2026.057769.576.672.9
SpectralNetLoss Function=None, lambda_con=None2026.0576.948.348.347.5
GCNLoss Function=Cut[48], lambda_con=N/A2026.0576.967.781.774
PCA + K-MeansLoss Function=None, lambda_con=None2026.0576.77563.368.7
GCNLoss Function=Mod [29], lambda_con=N/A2026.0576.568.477.772.7
GCNLoss Function=Cut + DGI, lambda_con=0.012026.0576.568.776.472.4
ARMALoss Function=Mod, lambda_con=N/A2026.0575.666.978.372.2
ARMALoss Function=Cut + DGI, lambda_con=0.092026.0575.466.180.172.4
Token-CutLoss Function=None, lambda_con=None2026.0575.367.774.470.9
EmbeddingLoss Function=None, lambda_con=None2026.0575.365.881.172.6
ARMALoss Function=Cut, lambda_con=N/A2026.0575.165.580.872.3
ARMA-C3Loss Function=None, lambda_con=0.52026.0574.864.280.571.2
ARMALoss Function=Cut + MERIT, lambda_con=0.12026.0574.664.579.971.1
GCNLoss Function=Cut + MERIT, lambda_con=82026.0574.464.979.371.4
GCNLoss Function=Mod + MERIT[11], lambda_con=82026.0573.663.28371.7
MAGILoss Function=None, lambda_con=None2026.0566.586.220.334
TANGOLoss Function=None, lambda_con=None2026.0551.629.614.419.4