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Classification on MoleculeNet

93.3BBBP AccuracyFARM
48.99660.4987283.502Oct 2, 2024Nov 30, 2024Jan 29, 2025Mar 30, 2025May 29, 2025Jul 28, 2025Sep 26, 2025

Evaluation results

MethodLinks
FARM2024.1093.380.869.965.982.289.682.783.5—
HimGNNFunctional Group Info=true2024.1092.880.7—64.291.785.6———
SMI-TED289M (FT)Evaluation Protocol=Fine-tuned, Parameters=289M2024.1092.381.9—65.794.388.2—76.9—
SMI-TED289M (Frozen)Evaluation Protocol=Frozen, Parameters=289M2024.1091.581.5—6693.585.6—80.5—
MCMFunctional Group Info=true2024.109080.2—62.765.582———
GEMFunctional Group Info=false2024.1088.878.169.263.290.387.975.381.3—
GROVERFunctional Group Info=false2024.1086.880.365.361.270.382.467.368.2—
MICROFunctional Group Info=true2024.1084.47765.256.77777.2—75.1—
GLADFunctional Group Info=false2024.1080.4——64.787.385.7———
C-FREEMM-SUBlearning_paradigm=Non-Contrastive (NON-CL), modality=multimodal, embedding_type=subgraphs (SUB), aggregation=DeepSets, mode=Linear Probe, backbone=Frozen2025.0973.876.766.856.475.775.570.671.970.92
MolCLRFunctional Group Info=true2024.1073.679.8—6893.28978.988.6—
SCAGEFunctional Group Info=true2024.1073.479.469.36692.785.4———
HiMol (L)Functional Group Info=true, Scale=Large2024.1073.276.2—61.380.884.3———
UniMolFunctional Group Info=false2024.1072.979.669.665.991.985.782.182.8—
GraphMVPFunctional Group Info=false2024.1072.475.963.163.179.181.277.777—
Mole-BERTFunctional Group Info=true2024.1071.976.862.862.878.980.878.678.2—
HiMol (S)Functional Group Info=true, Scale=Small2024.1071.376—62.570.684.6———
MoleOODFunctional Group Info=true2024.1071——63.4—84.3—79.4—
N-GRAMFunctional Group Info=false2024.1070.878.766.562.772.684.581.379.9—
FG-BERTFunctional Group Info=true2024.1070.278.463.36483.284.575.377.4—
C-FREEMM-MOLlearning_paradigm=Non-Contrastive (NON-CL), modality=multimodal, embedding_type=whole-molecule (MOL), mode=Linear Probe, backbone=Frozen2025.0969.879.965.858.569.975.376.672.871.07
MGSSLFunctional Group Info=true2024.1069.776.564.161.880.779.178.778.8—
GRAPHMVPlearning_paradigm=Contrastive (CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0969.263.855.558.658.773.363.868.663.92
GROVERlearning_paradigm=Contrastive (CL), mode=Linear Probe, backbone=Frozen 2D-only2025.096763.953.659.9656962.767.863.62
JOAOlearning_paradigm=Contrastive (CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0966.168.155.158.365.371.162.473.865.05
INFOGRAPHlearning_paradigm=Contrastive (CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0965.965.854.657.261.467.463.971.463.44
GRAPHCLlearning_paradigm=Contrastive (CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0964.769.156.259.560.87760.672.565.04
C-FREE2D-SUBlearning_paradigm=Non-Contrastive (NON-CL), modality=2D-only, embedding_type=subgraphs (SUB), aggregation=DeepSets, mode=Linear Probe, backbone=Frozen2025.0964.276.763.95871.473.964.665.567.27
ATTRMASKlearning_paradigm=Non-Contrastive (NON-CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0962.765.756.158.361.964.860.965.561.99
GPT-GNNlearning_paradigm=Non-Contrastive (NON-CL), mode=Linear Probe, backbone=Frozen 2D-only2025.096264.955.455.3556161.271.260.74
C-FREE2D-MOLlearning_paradigm=Non-Contrastive (NON-CL), modality=2D-only, embedding_type=whole-molecule (MOL), mode=Linear Probe, backbone=Frozen2025.0960.576.162.75962.775.867.668.766.63
CONTEXTPREDlearning_paradigm=Non-Contrastive (NON-CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0955.567.95457.167.454.460.566.260.36
EDGEPREDlearning_paradigm=Non-Contrastive (NON-CL), mode=Linear Probe, backbone=Frozen 2D-only2025.0954.266.254.456.165.471.459.573.662.59
RANDOM INIT.mode=Linear Probe, backbone=Frozen 2D-only2025.0950.764.953.253.263.163.462.166.159.6