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molecular representation

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Showing 151–168 of 168 papers

TitleStatusHype
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction—0
Pure Component Property Estimation Framework Using Explainable Machine Learning Methods—0
Reprogramming Language Models for Molecular Representation Learning—0
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision—0
Representation of Molecules via Algebraic Data Types : Advancing Beyond SMILES & SELFIES—0
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models—0
Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization—0
Revealing the Relationship Between Publication Bias and Chemical Reactivity with Contrastive Learning—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction—0
Technical report: Improving the properties of molecules generated by LIMO—0
GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks—0
Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates—0
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling—0
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence—0
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning—0
Multimodal Molecular Pretraining via Modality Blending—0
Synergistic Benefits of Joint Molecule Generation and Property Prediction—0
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