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Unconditional Molecule Generation on QM9 (test)

100ValidityReal data
43.049657.834872.6287.4052May 25, 2023Nov 22, 2023May 22, 2024Nov 19, 2024May 20, 2025Nov 17, 2025May 18, 2026

Evaluation results

MethodLinks
Real dataType=—, Repr.=SELFIES2026.05100——96.18——————05.05—0.9190.466
CharRNNType=RNN, Repr.=SELFIES‡2026.05100——96.32——————1.055.13—0.9170.465
Transformer ARType=Transformer, Repr.=SELFIES‡2026.05100——96.46——————5.264.98—0.920.465
VAE-onlyType=VAE prior, Repr.=SELFIES‡2026.05100——84.43——————88.937.43—0.90.439
Latent GANType=GAN in latent, Repr.=SELFIES‡2026.05100——72.63——————74.587.8—0.8920.474
LDMType=Latent diffusion, Repr.=SELFIES‡2026.05100——96.93——————37.64.28—0.9150.472
SiLDType=Latent diffusion, Repr.=SELFIES‡2026.05100——97.44——————35.94.41—0.9180.471
EBMolNumber of Function Evaluations (NFEs)=18102026.0598.9397.0999.7682.3—————81.4242.08————
EBMolNumber of Function Evaluations (NFEs)=13702026.0598.3295.5899.6582.78—————81.3943.37————
Data2026.0597.795.299——————97.7—————
Data2026.0597.795.399.499.97—————97.6—————
MoleculeJAEData Type=2D+3D, Pre-training Dataset=PCQM4Mv2, Training Epochs=39952023.1297.6597.4299.897.350.0060.0010.0020.0040.561——————
SLDMNumber of Function Evaluations (NFEs)=10002026.0597.0795.4299.43——————90.42—————
FlashMolNFE=82026.0596.9794.8799.55——————87.51—————
GeoBFNNumber of Function Evaluations (NFEs)=20002026.0596.8893.3299.31——————92.4165.3————
EBMolNumber of Function Evaluations (NFEs)=9302026.0596.8892.3499.3586.61—————83.9145.68————
MOLTDNFE=122026.0596.0492.5399.4——————92—————
SLDM (re-evaluated)Number of Function Evaluations (NFEs)=1000, Note=re-evaluated from own experiments2026.0595.5392.3299.0795.28—————91.0242.46————
MiDiData Type=2D+3D, Training Epochs=100002023.1295.3894.8399.6697.40.0230.0060.0080.0071.407——————
GeoRCG (EDM)NFE=502026.0595.0589.0898.75————————————
GCDM2026.0394.885.798.7——————93.358.7—91.9——
ENDNumber of Function Evaluations (NFEs)=10002026.0594.889.198.9——————92.6—————
EquiFMNFE=2002026.0594.788.398.9——————93.5—————
EquiFMNumber of Function Evaluations (NFEs)=2102026.0594.788.398.9——————93.5—————
HLTF2026.0393.886.898.8——————92.956—94——
GeoLDMNFE=10002026.0593.889.498.9——————92.7—————
GEOLDMNumber of Function Evaluations (NFEs)=10002026.0593.889.498.9——————92.757————
GeoLDM2026.0393.689.498.9——————92.753.5—93.1——
GeoBFNNFE=1002026.059387.298.6——————91.5—————
GOATNFE=902026.0592.9—99.2——————92—————
GOATNumber of Function Evaluations (NFEs)=10002026.0592.9—99.299——————78.6————
SLDMNFE=502026.0592.8488.0998.7——————89.53—————
FlashMolNFE=52026.0592.6787.0598.73——————78.83—————
TDDMconfiguration=standard2023.0592.3————————89.953.6————
TDDMstandard=true2023.0592.387.298.3————————————
EDM-BridgeNFE=10002026.059284.698.8——————90.7—————
EDM-BridgeNumber of Function Evaluations (NFEs)=10002026.059284.698.8——————90.7—————
FDDM2023.0591.9————————90.765.7————
FDDM2023.0591.98298.7————————————
EDMNFE=10002026.0591.98298.7——————90.7—————
EDMNumber of Function Evaluations (NFEs)=10002026.0591.98298.7——————90.765.7————
EDM2023.1291.290.799.298.50.0210.0020.0110.0010.44——————
FlashMolNFE=42026.0590.783.8997.7——————72.7—————
GDM-AUGNFE=10002026.0590.471.697.6——————89.5—————
TDDMforward rate schedule=lambda_t < 0.9T = 02023.0589.4————————86.151.3————
TDDMchi_t_zero_before_0.9T=true2023.0589.482.697.7————————————
GEOLDM-respacedNFE=82026.0587.1370.7895.49——————81.48—————
TDDMablation=without Proposition 32023.0587.1————————85.963.3————
TDDMproposition_3_parameterization=false2023.0587.166.997————————————
TDDMforward rate=constant lambda_t2023.0586.7————————84.456.9————
TDDMconstant_chi_t=true2023.0586.779.196.7————————————
AccGeoLDMNFE=162026.0573.2251.0292.08——————72.39—————
GEOLDM-respacedNFE=52026.0562.127.9682.11——————59.2—————
GEOLDM-respacedNFE=42026.0545.2412.4372.35——————42.53—————
DeFoGInitialization=Noise, Generations=10k, Inference steps=5002026.03—————————96.8360.81———
DeFoGInitialization=Noise Initialization2026.03—————————96.8360.81———
GEMInitialization=Noise, Generations=10k, Inference steps=5002026.03—————————97.1630.92———
GEMInitialization=Data, Generations=10k, Inference steps=5002026.03—————————98.5510.31———
GEMInitialization=Noise Initialization2026.03—————————97.1630.92———
GEMInitialization=Data Initialization2026.03—————————98.5510.31———
GraphEBMInitialization=Noise Initialization2026.03—————————12.1657.16———
GraphEBMInitialization=Data Initialization2026.03—————————21.5485.15———
GraphEBM*Initialization=Noise, Generations=10k, Inference steps=5002026.03—————————12.1657.16———
GraphEBM*Initialization=Data, Generations=10k, Inference steps=5002026.03—————————21.5485.15———
Training samples (QM9)Generations=10k, Inference steps=5002026.03—————————10000.04———
Training samples (QM9)Initialization=Noise Initialization2026.03—————————10000.04———
VFMInitialization=Noise, Generations=10k, Inference steps=5002026.03—————————99.8490.44———
VFMInitialization=Noise Initialization2026.03—————————99.8490.44———