List your company

Unconditional Molecule Generation on GuacaMol

100ValidityMOLER
35.41652.18368.9585.717Apr 23, 2025Jul 2, 2025Sep 11, 2025Nov 20, 2025Jan 30, 2026Apr 10, 2026Jun 20, 2026

Evaluation results

MethodLinks
MOLERYear=20222026.0210010062.596.499.1——
MICAMYear=20232026.0210099.473.198.998.6——
DISCO-GTYear=20242026.0210086.659.792.699.9——
Training setNumber of runs=3, Filtering=unfiltered2026.0210010092.899.9———
Training set2025.06100—92.8——1000
JT-VAEInput representation=Graph-based2025.04100—0.750.94———
MoLeRInput representation=Graph-based2025.041001000.6250.96499.1——
MAGNetInput representation=Graph-based2025.04100—0.760.95———
MiCaMInput representation=Graph-based2025.0410099.40.7310.98998.6——
BioMatrix-1.7BModel category=Sequence-Based, Molecular representation=SELFIES, Model scale=1.7B2026.0699.9100——97.7——
BioMatrix-4BModel category=Sequence-Based, Molecular representation=SELFIES, Model scale=4B2026.0699.8100——98.6——
BioMatrix-1.7BModel category=Sequence-Based, Molecular representation=SMILES, Model scale=1.7B2026.0699.499.9——95.7——
BioMatrix-4BModel category=Sequence-Based, Molecular representation=SMILES, Model scale=4B2026.0699.1100——97.8——
DeFoG2025.0699—73.8——9997.9
Cometh2025.0698.9—72.7——98.997.6
BWFlow2025.0698.8—69.2——98.997.4
HyformerSampling temperature τ=0.9, Input representation=SMILES-based, Parameters=8.5M2025.0498.699.90.8970.99587.9——
OMG-GPTModel category=Sequence-Based2026.0698.4100——97.5——
MolGram (GPT)Params=87.5M2026.0698.2999.460.91120.993598.94——
MolGram (GPT)Params=27.2M2026.0698.2199.420.91010.993198.92——
MolGPTParams=85.4M2026.0698.1699.220.90960.992998.96——
MolGPTInput representation=SMILES-based2025.0498.199.80.9070.992100——
MolGPTParams=25.5M2026.0698.0799.140.90850.992499——
MolGPTModel category=Sequence-Based2026.0697.999.9——100——
HyformerSampling temperature τ=1.0, Input representation=SMILES-based, Parameters=8.5M2025.0497.899.90.9180.98990.8——
HyformerSampling temperature τ=1.1, Input representation=SMILES-based, Parameters=8.5M2025.0496.51000.8940.97793.1——
LSTM2026.0295.910091.399.191.2——
LSTMInput representation=SMILES-based2025.0495.91000.9130.99191.2——
SMILES LSTMModel category=Sequence-Based2026.0695.9100——91.2——
NAGVAEModel category=Graph-Based2026.0692.995.5——100——
MolHITmodel=Ours2026.0287.187.154.996.786——
MolHITNumber of runs=3, Filtering=unfiltered2026.0287.187.154.996.786——
VAEInput representation=SMILES-based2025.048799.90.8630.98297.4——
VAEModel category=Sequence-Based2026.068799.9——97.4——
DisCo2025.0686.6—59.7——86.686.5
DiGReSSYear=20232026.0285.21006892.999.9——
DiGressversion=original (trained on filtered dataset)2026.0285.285.26892.985.1——
DiGress (org.)Number of runs=3, Filtering=unfiltered2026.0285.285.26892.985.1——
DiGress2025.0685.2—68——85.285.1
DigressModel category=Graph-Based2026.0685.2100——99.6——
AAEModel category=Sequence-Based2026.0682.2100——99.8——
DiGressversion=full (trained on unfiltered dataset)2026.0274.774.661.192.474——
DiGress (full)Number of runs=3, Filtering=unfiltered2026.0274.774.661.192.474——
DiGress + DAEarchitecture=original graph transformer with DAE2026.0265.265.249.28764.9——
DiGress+DAENumber of runs=3, Filtering=unfiltered2026.0265.265.249.28764.9——
ORGANModel category=Sequence-Based2026.0637.984.1——68.7——