SOTAVerified

Molecular Property Prediction

Molecular property prediction is the task of predicting the properties of a molecule from its structure.

Papers

Showing 201–250 of 354 papers

TitleStatusHype
Heterogenous Ensemble of Models for Molecular Property PredictionCode1
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation ModelCode1
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property PredictionCode1
Galactica: A Large Language Model for ScienceCode4
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning—0
Isotropic Gaussian Processes on Finite Spaces of GraphsCode0
Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction ClassificationCode0
Structure-based drug design with geometric deep learning—0
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction—0
Substructure-Atom Cross Attention for Molecular Representation Learning—0
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property PredictionCode0
Improving Molecular Pretraining with Complementary FeaturizationsCode0
Unraveling Key Elements Underlying Molecular Property Prediction: A Systematic StudyCode1
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural LanguageCode1
Graph Neural Networks for Molecules—0
Uni-Mol: A Universal 3D Molecular Representation Learning Framework—0
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters—0
ChemBERTa-2: Towards Chemical Foundation ModelsCode1
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise AttentionCode1
Identifying the kind behind SMILES—anatomical therapeutic chemical classification using structure-only representationsCode0
GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions—0
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property PredictionCode1
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction—0
Graph neural networks for the prediction of molecular structure-property relationships—0
FunQG: Molecular Representation Learning Via Quotient GraphsCode1
Unified 2D and 3D Pre-Training of Molecular RepresentationsCode1
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction—0
Pure Transformers are Powerful Graph LearnersCode1
An adaptive graph learning method for automated molecular interactions and properties predictionsCode1
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic GraphsCode2
Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule ComplexesCode1
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property PredictionCode1
3D Graph Contrastive Learning for Molecular Property Prediction—0
Pre-training via Denoising for Molecular Property PredictionCode1
Triangular Contrastive Learning on Molecular Graphs—0
Recipe for a General, Powerful, Scalable Graph TransformerCode2
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction—0
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order InteractionsCode1
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction—0
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionCode1
Attention-wise masked graph contrastive learning for predicting molecular property—0
Graph Anisotropic DiffusionCode0
Learning to Split for Automatic Bias DetectionCode1
Infusing Linguistic Knowledge of SMILES into Chemical Language Models—0
Accurate ADMET Prediction with XGBoostCode1
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportCode1
A photonic chip-based machine learning approach for the prediction of molecular properties—0
Equilibrium Aggregation: Encoding Sets via Optimization—0
Structured Multi-task Learning for Molecular Property PredictionCode1
Equivariant Graph Attention Networks for Molecular Property Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DumplingGNNROC-AUC96.4—Unverified
2ChemBFNROC-AUC95.74—Unverified
3MTL-BERTROC-AUC93—Unverified
4XGBoostROC-AUC90.5—Unverified
5SELFormerROC-AUC90.2—Unverified
6STL-BERTROC-AUC89.6—Unverified
7Cano-BERTROC-AUC89.2—Unverified
8AttrMaskingROC-AUC89.2—Unverified
9AttentiveFPROC-AUC85.5—Unverified
10Deep-CBNROC-AUC75.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MolXPTROC-AUC88.4—Unverified
2Uni-MolROC-AUC85.7—Unverified
3ChemRL-GEMROC-AUC85.6—Unverified
4PretrainGNNROC-AUC84.5—Unverified
5SMAROC-AUC84.3—Unverified
6Deep-CBNROC-AUC83.6—Unverified
7SPMMROC-AUC83—Unverified
8GROVER (base)ROC-AUC82.6—Unverified
9GROVER (large)ROC-AUC81—Unverified
10D-MPNNROC-AUC80.9—Unverified
#ModelMetricClaimedVerifiedStatus
1BioAct-HetROC-AUC91.11—Unverified
2Deep-CBNROC-AUC78.2—Unverified
3MolXPTROC-AUC71.7—Unverified
4IterRefLSTMROC-AUC70.4—Unverified
5ChemRL-GEMROC-AUC67.2—Unverified
6N-GramRFROC-AUC66.8—Unverified
7Uni-MolROC-AUC65.9—Unverified
8N-GramXGBROC-AUC65.5—Unverified
9GROVER (large)ROC-AUC65.4—Unverified
10GROVER (base)ROC-AUC64.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep-CBNROC-AUC92.4—Unverified
2BioAct-HetROC-AUC89.8—Unverified
3IterRefLSTMROC-AUC83—Unverified
4Uni-MolROC-AUC79.6—Unverified
5ChemRL-GEMROC-AUC78.1—Unverified
6PretrainGNNROC-AUC78.1—Unverified
7AutogluonROC-AUC77.84—Unverified
8MolXPTROC-AUC77.1—Unverified
9D-MPNNROC-AUC75.9—Unverified
10N-GramXGBROC-AUC75.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep-CBNROC-AUC99.2—Unverified
2ChemBFNROC-AUC99.18—Unverified
3Uni-MolROC-AUC91.9—Unverified
4SPMMROC-AUC91—Unverified
5D-MPNNROC-AUC90.6—Unverified
6ChemRL-GEMROC-AUC90.1—Unverified
7N-GramXGBROC-AUC87.5—Unverified
8GAL 120BROC-AUC82.6—Unverified
9GAL 30BROC-AUC82.2—Unverified
10GROVER (base)ROC-AUC81.2—Unverified
#ModelMetricClaimedVerifiedStatus
1N-GramXGBRMSE2.07—Unverified
2GROVER (large)RMSE0.82—Unverified
3GROVER (base)RMSE0.82—Unverified
4N-GramRFRMSE0.81—Unverified
5ChemBERTa-2 (MTR-77M)RMSE0.8—Unverified
6ChemBFNRMSE0.75—Unverified
7PretrainGNNRMSE0.74—Unverified
8SPMMRMSE0.71—Unverified
9D-MPNNRMSE0.68—Unverified
10ChemRL-GEMRMSE0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1N-GramXGBRMSE5.06—Unverified
2PretrainGNNRMSE2.76—Unverified
3N-GramRFRMSE2.69—Unverified
4GROVER (large)RMSE2.27—Unverified
5GROVER (base)RMSE2.18—Unverified
6D-MPNNRMSE2.08—Unverified
7ChemRL-GEMRMSE1.88—Unverified
8SPMMRMSE1.86—Unverified
9Uni-MolRMSE1.62—Unverified
10ChemBFNRMSE1.42—Unverified
#ModelMetricClaimedVerifiedStatus
1DVMPAUC0.81—Unverified
2Uni-MolAUC0.81—Unverified
3ChemBFNAUC0.79—Unverified
4ChemBERTa-2 Fine-tunedAUC0.79—Unverified
5SMAAUC0.79—Unverified
6MolXPTAUC0.78—Unverified
7GAL 30BAUC0.76—Unverified
8GAL 120BAUC0.75—Unverified
9GAL 1.3BAUC0.72—Unverified
10GAL 6.7BAUC0.72—Unverified
#ModelMetricClaimedVerifiedStatus
1D-MPNNRMSE1.05—Unverified
2XGBoostRMSE0.99—Unverified
3ChemBERTa-2 (MTR-77M)RMSE0.89—Unverified
4ChemBFNRMSE0.88—Unverified
5SPMMRMSE0.81—Unverified
6ChemRL-GEMRMSE0.8—Unverified
7Uni-MolRMSE0.79—Unverified
8SMARMSE0.62—Unverified
9MPNNRMSE0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1PretrainGNNMAE113.2—Unverified
2D-MPNNMAE103.5—Unverified
3GROVER (base)MAE94.5—Unverified
4N-GramRFMAE92.8—Unverified
5GROVER (large)MAE92—Unverified
6N-GramXGBMAE81.9—Unverified
7ChemRL-GEMMAE58.9—Unverified
8Uni-MolMAE41.8—Unverified
#ModelMetricClaimedVerifiedStatus
1N-GramRFMAE0.02—Unverified
2GROVER (large)MAE0.02—Unverified
3GROVER (base)MAE0.02—Unverified
4N-GramXGBMAE0.02—Unverified
5PretrainGNNMAE0.02—Unverified
6D-MPNNMAE0.02—Unverified
7ChemRL-GEMMAE0.02—Unverified
8Uni-MolMAE0.02—Unverified
#ModelMetricClaimedVerifiedStatus
1N-GramRFMAE0.01—Unverified
2GROVER (large)MAE0.01—Unverified
3GROVER (base)MAE0.01—Unverified
4N-GramXGBMAE0.01—Unverified
5PretrainGNNMAE0.01—Unverified
6D-MPNNMAE0.01—Unverified
7ChemRL-GEMMAE0.01—Unverified
8Uni-MolMAE0—Unverified
#ModelMetricClaimedVerifiedStatus
1DumplingGNNROC-AUC78.2—Unverified
2Uni-MolROC-AUC69.6—Unverified
3ChemRL-GEMROC-AUC69.2—Unverified
4PretrainGNNROC-AUC65.7—Unverified
5D-MPNNROC-AUC65.5—Unverified
6GROVER (base)ROC-AUC65.4—Unverified
7GROVER (large)ROC-AUC65.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Uni-MolAUC0.77—Unverified
2GAL 30BAUC0.69—Unverified
3GAL 6.7BAUC0.64—Unverified
4GAL 1.3BAUC0.62—Unverified
5GAL 125MAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep-CBNROC-AUC99.8—Unverified
2Uni-MolROC-AUC82.1—Unverified
3BioAct-HetROC-AUC69.47—Unverified
4IterRefLSTMROC-AUC67—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep-CBNROC-AUC97.3—Unverified
2Uni-MolROC-AUC80.8—Unverified
3ChemBFNROC-AUC79.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ChemBERTa-2 (MTR-77M)RMSE48.52—Unverified
2SPMMRMSE44.75—Unverified
#ModelMetricClaimedVerifiedStatus
1DumplingGNNROC-AUC88.87—Unverified
2Uni-MolROC-AUC88.5—Unverified