List your company
ResearchFormerly WizWand

Node Regression on Chameleon

0.484Normalized MAE LossFIT-GNN
0.469280.568640.6680.76736Oct 19, 2024
Updated 8mo ago

Evaluation results

MethodLinks
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.5, Method Appending Nodes=Cluster Nodes2024.100.484
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.3, Method Appending Nodes=Cluster Nodes2024.100.489
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.1, Method Appending Nodes=Cluster Nodes2024.100.496
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.1, Method Appending Nodes=Cluster Nodes2024.100.506
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.3, Method Appending Nodes=Cluster Nodes2024.100.531
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.5, Method Appending Nodes=Cluster Nodes2024.100.531
FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.7, Method Appending Nodes=Cluster Nodes2024.100.536
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.3, Method Appending Nodes=Cluster Nodes2024.100.537
FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.7, Method Appending Nodes=Cluster Nodes2024.100.539
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.5, Method Appending Nodes=Cluster Nodes2024.100.556
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.7, Method Appending Nodes=Cluster Nodes2024.100.576
FIT-GNNBackbone=GAT, Reduction Ratio (r)=0.1, Method Appending Nodes=Cluster Nodes2024.100.582
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.1, Method Appending Nodes=Cluster Nodes2024.100.769
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.7, Method Appending Nodes=Cluster Nodes2024.100.792
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.3, Method Appending Nodes=Cluster Nodes2024.100.808
FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.5, Method Appending Nodes=Cluster Nodes2024.100.81
GINSetup=Full, Reduction Ratio (r)=1.02024.100.843
GATSetup=Full, Reduction Ratio (r)=1.02024.100.846
SAGESetup=Full, Reduction Ratio (r)=1.02024.100.848
GCNSetup=Full, Reduction Ratio (r)=1.02024.100.852