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Molecular Property Prediction on MoleculeNet Classification Subsets

75.9BBBP AccuracyHyformer
63.83666.96870.173.232Apr 23, 2025

Evaluation results

MethodLinks
HyformerModel Category=Joint2025.0475.983.899.279.265.565.780
Uni-MolModel Category=Predictive2025.0472.985.791.979.669.665.980.8
Graph2SeqModel Category=Joint2025.0472.883.4—76.965.468.279.4
GraphMVPModel Category=Predictive2025.0472.481.279.175.963.163.977
GEMModel Category=Predictive2025.0472.485.690.178.169.267.280.6
MolCLRModel Category=Predictive2025.0472.282.491.275—58.978.1
Mole-BERTModel Category=Predictive2025.0471.980.878.976.864.3——
D-MPNNModel Category=Predictive2025.047180.990.675.965.55777.1
GROVERbaseModel Category=Predictive, Model Scale=base2025.047082.681.274.365.464.862.5
N-GramRFModel Category=Predictive2025.0469.777.977.574.3—66.877.2
GROVERlargeModel Category=Predictive, Model Scale=large2025.0469.58176.273.565.365.468.2
N-GramXGBModel Category=Predictive2025.0469.179.187.575.8—65.578.7
PretrainGNNModel Category=Predictive2025.0468.784.572.678.165.762.779.9
Attentive FPModel Category=Predictive2025.0464.378.484.776.163.760.675.7