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Graph-level binary classification on OGB-MOLHIV 1.0 (val)
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0.8658
ROC AUC
GSN
0.787384
0.807742
0.8281
0.848458
Jun 16, 2020
ROC AUC
Updated 3mo ago
Evaluation Results
Method
Method
Links
ROC AUC
GSN
Base Architecture=GIN+VN
2020.06
0.8658
PNA
2020.06
0.8519
GIN+VN
Virtual Node=Yes
2020.06
0.8479
GSN
Base Architecture=DGN,...
2020.06
0.8473
DGN + eigenvectors
Vector Field=Eigenvectors
2020.06
0.847
DeeperGCN
2020.06
0.8427
DeeperGCN+FLAG
Augmentation=FLAG
2020.06
0.8425
P-WL
2020.06
0.8279
PHC-GNN
2020.06
0.8217
GCN+GraphNorm
Normalization=GraphNorm
2020.06
0.7904
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