A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Open paper
Benchmark
Model
Rank
Results
graph-property-prediction-on-ogbg-molhiv
P-WL
#13
Test ROC-AUC: 0.8039 ± 0.0040
Ext. data: No
…
graph-classification-on-proteins
P-WL-UC
#57
Accuracy: 75.36%
graph-classification-on-mutag
P-WL-C
#65
Mean Accuracy: 90.51
Rank counts only results with a code link.