List your company

Disease risk prediction on FDG modality AD vs. CN

87.25PrecisionGCN+
58.670866.090473.5180.9296Jul 1, 2023

Evaluation results

MethodLinks
GCN+Backbone=GCN, DC Layer=true2023.0787.2584.6282.04
DGCN+Backbone=DenseGCN, DC Layer=true2023.0781.7780.1176.58
GCNBackbone=GCN, DC Layer=false2023.0781.1182.1779.4
GCNII+Backbone=GCNII, DC Layer=true2023.0781.0682.0580.99
RGCN+Backbone=ResGCN, DC Layer=true2023.0780.5779.5875.98
GCNIIBackbone=GCNII, DC Layer=false2023.0774.3179.5573.88
GRAND+Backbone=GRAND, DC Layer=true2023.0772.2486.3278.06
GRANDBackbone=GRAND, DC Layer=false2023.0770.9184.2176.99
DGCNBackbone=DenseGCN, DC Layer=false2023.0766.8473.8763.92
GAT+Backbone=GAT, DC Layer=true2023.0762.3378.9569.66
GATBackbone=GAT, DC Layer=false2023.0761.972.8264.23
RGCNBackbone=ResGCN, DC Layer=false2023.0759.7773.3562.77