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ResearchFormerly WizWand

Node Regression on Squirrel

0.589Normalized MAE LossFIT-GNN
0.580360.638680.6970.75532Oct 19, 2024
Updated 8mo ago

Evaluation results

MethodLinks
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.12024.100.589
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.32024.100.602
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.52024.100.618
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.72024.100.621
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.12024.100.663
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.32024.100.682
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.72024.100.696
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.52024.100.722
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.32024.100.724
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.52024.100.728
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.12024.100.734
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.72024.100.746
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.52024.100.786
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.72024.100.791
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.12024.100.795
GINSetup=Full, Reduction Ratio (r)=1.02024.100.796
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.32024.100.796
GCNSetup=Full, Reduction Ratio (r)=1.02024.100.802
SAGESetup=Full, Reduction Ratio (r)=1.02024.100.804
GATSetup=Full, Reduction Ratio (r)=1.02024.100.805