SOTAVerified

Molecular Property Prediction

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

Papers

Showing 110 of 354 papers

TitleStatusHype
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures0
Combining Graph Neural Networks and Mixed Integer Linear Programming for Molecular Inference under the Two-Layered Model0
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence0
Descriptor-based Foundation Models for Molecular Property PredictionCode2
Robust Molecular Property Prediction via Densifying Scarce Labeled DataCode0
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models0
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine LearningCode0
Graph Neural Networks in Modern AI-aided Drug Discovery0
Recent Developments in GNNs for Drug Discovery0
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MolXPTROC-AUC88.4Unverified
2Uni-MolROC-AUC85.7Unverified
3ChemRL-GEMROC-AUC85.6Unverified
4PretrainGNNROC-AUC84.5Unverified
5SMAROC-AUC84.3Unverified
6Deep-CBNROC-AUC83.6Unverified
7SPMMROC-AUC83Unverified
8GROVER (base)ROC-AUC82.6Unverified
9GROVER (large)ROC-AUC81Unverified
10D-MPNNROC-AUC80.9Unverified