Analyzing Learned Molecular Representations for Property Prediction

Benchmark Model Rank Results
molecular-property-prediction-on-qm8D-MPNN#2MAE: 0.0190
molecular-property-prediction-on-qm9D-MPNN#2MAE: 0.00814
molecular-property-prediction-on-lipophilicityD-MPNN#3RMSE: 0.683
molecular-property-prediction-on-toxcastD-MPNN#4ROC-AUC: 65.5
molecular-property-prediction-on-clintoxD-MPNN#6ROC-AUC: 90.6
molecular-property-prediction-on-qm7D-MPNN#6MAE: 103.5
molecular-property-prediction-on-tox21D-MPNN#9ROC-AUC: 75.9
molecular-property-prediction-on-baceD-MPNN#10ROC-AUC: 80.9
molecular-property-prediction-on-siderD-MPNN#14ROC-AUC: 57.0
molecular-property-prediction-on-freesolvD-MPNN#16RMSE: 2.082
molecular-property-prediction-on-bbbpD-MPNN#17ROC-AUC: 71.0
molecular-property-prediction-on-esolD-MPNN#19RMSE: 1.050