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Graph Regression on QM9

0.925Property 0 ValueGIN
0.676440.740970.80550.87003Oct 19, 2024

Evaluation results

MethodLinks
GINMode=Full, Reduction Ratio=12024.100.9251.0531.1261.078—
GATMode=Full, Reduction Ratio=12024.100.9191.0151.1041.066—
SAGEMode=Full, Reduction Ratio=12024.100.8851.0151.1091.076—
GCNMode=Full, Reduction Ratio=12024.100.8551.0121.1021.073—
FIT-GNNBackbone=SAGE, Reduction Ratio=0.32024.100.7480.7110.6020.518—
FIT-GNNBackbone=SAGE, Reduction Ratio=0.52024.100.7390.7470.6060.833—
FIT-GNNBackbone=SAGE, Reduction Ratio=0.12024.100.7260.7390.5260.905—
FIT-GNNBackbone=GIN, Reduction Ratio=0.12024.100.7260.7460.4940.856—
FIT-GNNBackbone=GIN, Reduction Ratio=0.52024.100.7250.8480.7371.058—
FIT-GNNBackbone=GIN, Reduction Ratio=0.32024.100.7230.7610.5090.854—
FIT-GNNBackbone=SAGE, Reduction Ratio=0.72024.100.7220.6770.6591.005—
FIT-GNNBackbone=GCN, Reduction Ratio=0.72024.100.7151.1890.4561.24—
FIT-GNNBackbone=GCN, Reduction Ratio=0.12024.100.7131.2230.4471.223—
FIT-GNNBackbone=GCN, Reduction Ratio=0.32024.100.7080.9750.4731.22—
FIT-GNNBackbone=GAT, Reduction Ratio=0.32024.100.7081.0560.5280.564—
FIT-GNNBackbone=GAT, Reduction Ratio=0.12024.100.7050.940.4640.524—
FIT-GNNBackbone=GCN, Reduction Ratio=0.52024.100.7021.1530.4851.179—
FIT-GNNBackbone=GAT, Reduction Ratio=0.52024.100.6931.2270.4750.561—
FIT-GNNBackbone=GAT, Reduction Ratio=0.72024.100.6861.030.4910.703—
AttrMask2024.05————11.74
ContextPred2024.05————9.14
GraphCL2024.05————5.76
GraphMAE2024.05————5.84
Hi-GMAE-F2024.05————5.47
JOAO2024.05————10.65
Mole-BERT2024.05————5.75