MoleculeNet
Canonical34papers using it
2022first seen
A benchmark suite of molecular-property-prediction datasets spanning physical, biophysical, and physiological properties.
Papers using MoleculeNet (34)
- Can Tabular In-Context Learners Generalize to Biomolecular Property Prediction?Aligning Molecular Graph Explanations with Chemical Identity via InChIfied InvariantsWhat drives performance in molecular MPNNs? An operator-level factorial benchmarkStructure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation LearningAdvancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal LearningEvaluating machine learning models for predicting pesticide toxicity to honey beesWhen Molecular Similarity Works: Property Cliffs Reveal Hidden ErrorsBiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation LearningEnhancing Molecular Property Predictions by Learning from Bond Modelling and InteractionsCardinality-Preserving Attention Channels for Graph Transformers in Molecular Property PredictionEntropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular UnderstandingMolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal FusionMulti-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token PredictionPCEvo: Path-Consistent Molecular Representation via Virtual EvolutionaryLocal-Global Multimodal Contrastive Learning for Molecular Property PredictionMeasuring AI Progress in Drug Discovery: A Reproducible Leaderboard for the Tox21 ChallengeLearning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph PretrainingLearning Hierarchical Interaction for Accurate Molecular Property PredictionFragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence
Molecular Representation LearningUniMatch: Universal Matching from Atom to Task for Few-Shot Drug
DiscoveryChemBERTa-2: Towards Chemical Foundation ModelsPEMP: Leveraging Physics Properties to Enhance Molecular Property PredictionMolGraph: a Python package for the implementation of molecular graphs
and graph neural networks with TensorFlow and KerasLo-Hi: Practical ML Drug Discovery BenchmarkStructure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical PropertiesSynergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property PredictionUnraveling Key Elements Underlying Molecular Property Prediction: A
Systematic StudyGraph Multi-Similarity Learning for Molecular Property PredictionMolecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for
Molecular Graph ClassificationExtracting Molecular Properties from Natural Language with Multimodal
Contrastive LearningImproving Molecular Properties Prediction Through Latent Space FusionAdaMR: Adaptable Molecular Representation for Unified Pre-training StrategyAutomated Molecular Concept Generation and Labeling with Large Language
ModelsContextual Representation Anchor Network to Alleviate Selection Bias in
Few-Shot Drug Discovery