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ResearchFormerly WizWand

Node Regression on Crocodile

0.309Normalized MAE LossFIT-GNN
0.28720.434350.58150.72865Oct 19, 2024
Updated 8mo ago

Evaluation results

MethodLinks
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.12024.100.309
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.32024.100.315
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.52024.100.317
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.72024.100.323
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.12024.100.364
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.72024.100.368
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.32024.100.369
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.52024.100.371
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.32024.100.383
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.52024.100.386
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.12024.100.395
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.72024.100.395
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.32024.100.697
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.12024.100.722
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.52024.100.73
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.72024.100.779
GATSetup=Full, Reduction Ratio (r)=1.02024.100.85
SAGESetup=Full, Reduction Ratio (r)=1.02024.100.85
GINSetup=Full, Reduction Ratio (r)=1.02024.100.852
GCNSetup=Full, Reduction Ratio (r)=1.02024.100.854