Molecular Property Prediction

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  1. Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

    Aug 31, 2026Raunak Kumar, Anuj Pal, Dhruvi Solanki +3Multi-Label ClassificationMolecular Property Prediction

  2. Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modeling

    Aug 29, 2026Yifan Feng, Guanjie Cheng, Shihui Ying +2Hypergraph Neural NetworksMolecular Property Prediction

  3. Coupled-cluster molecular properties across the main group that extrapolate beyond training size

    Aug 18, 2026Wenhao He, Xu Chen, Noah Song +10Quantum ChemistryEquivariant Neural Networks

  4. Localize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and Edits

    Aug 13, 2026Xingqiao Lin, Junmei Wang, Haocheng TangLatent Visual ReasoningStructured Reasoning

  5. DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction

    Aug 11, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +3Contrastive LearningSelf-Supervised Pre-Training

  6. Multi-Granular Rationale-Guided Molecular LLM for Property Prediction

    Aug 11, 2026Junwoo Park, Minyoung Shin, Cheol Soon Lee +1Molecular Property PredictionMolecular Representation Learning

  7. RAVEN: Frozen Random Graph Reservoirs with Physics-Informed Interaction Fingerprints for Protein-Ligand Binding Affinity Prediction

    Aug 10, 2026Qingyang Zou, Jiaye Huang, Hangbo Xie +3Protein-Ligand Binding Affinity PredictionGraph Neural Networks

  8. Geometry-Informed Parameter-Efficient Fine-Tuning of Pre-trained Molecular GNNs for Blood-Brain Barrier Permeability Prediction

    Aug 4, 2026Marco Vieto Vega, Long D. Nguyen, Binh P. NguyenGraph Neural NetworksMolecular Property Prediction

  9. Learning Molecular Representations from Cellular Phenotypes with Structure Preservation

    Aug 3, 2026Xuan Lin, Jingyu Sheng, Tengfei Ma +2Disentangled Representation LearningCross-Modal Representation Learning

  10. Generic Vision and Cross-Attention for Reaction Yield Prediction

    Aug 1, 2026Qiwei Han, Chi ZhouCross-Modal Representation LearningCross-Modal Attention

  11. UniPolymer: A Unified Framework for Property Prediction, Structure Recommendation, and Evaluation in Polyimide Design

    Jul 31, 2026Junquan Hu, Zhihui Wang, Peng Xu +4Materials ScienceMolecular Property Prediction

  12. Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus

    Jul 30, 2026Rasmus Tirsgaard, Laurits Fredsgaard, Marisa Wodrich +2Ensemble LearningGraph-Based Semi-Supervised Learning

  13. Chem World: A Large-Scale Benchmark and Physics-Informed Framework for Trustworthy Chemical Property Prediction

    Jul 30, 2026Tianyou Bai, Huan Wang, Mingchen Gao +4Physics-Informed MLMolecular Property Prediction

  14. Knowledge before Reasoning: EC-Reason-Bench, a Training-Free Diagnostic Benchmark for LLM Enzyme Classification

    Jul 29, 2026Linyu Li, Zhi Jin, Yichi Zhang +6Retrieval-Augmented GenerationLLM Evaluation

  15. AMPBench-MT: A Homology-Controlled Benchmark for Antimicrobial Peptide Potency, Spectrum, and Safety Prediction

    Jul 28, 2026Ziheng Zhou, Huiyu Luo, Xiaohu Zhu +4Benchmark DesignToxicity Detection

  16. From Cellular Responses to Pharmacological Domains: Multimodal Zero-Shot Drug Representation Learning

    Jul 28, 2026Jintao Huang, Lu Leng, Ziyuan YangCross-Modal RetrievalMolecular Property Prediction

  17. MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning

    Jul 27, 2026Tinghui Jin, Kedu Jin, Ying Li +8Graph SSLGraph Foundation Models

  18. Beyond Predictive Accuracy: A Reliability-Aware Audit of Molecular Representations for Human Olfaction

    Jul 25, 2026Kai Lun Huang, Wei Chieh SunOOD GeneralizationMolecular Property Prediction

  19. EnsembleEGNN: Set-Based Graph Learning for Thermodynamic Ensembles of Cyclic Peptides

    Jul 23, 2026Aaron L. Feller, Kris Deibler, Maxim SecorEquivariant GNNsMolecular Property Prediction

  20. Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion

    Jul 20, 2026Yongchan Hong, Defu Cao, Wenjin Liu +6Protein-Ligand Binding Affinity PredictionEvidential Deep Learning

  21. ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction

    Jul 19, 2026Hexiao Ding, Hongzhao Chen, Jing Lan +12Graph SSLPhysics-Informed ML

  22. Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction

    Jul 15, 2026James T. Pegg, Hubert Okadome Valencia, Ronin WuGraph Neural NetworksVariational Quantum Circuits

  23. Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

    Jul 14, 2026Konstantinos Bougiatiotis, Dimitrios Kelesis, Georgios PaliourasLLM PromptingSmall Language Models

  24. Q2SAR\mathtt{Q^2SAR}: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning

    Jul 13, 2026Mariano Caruso, Daniel Ruiz, Alejandro Giraldo +1Quantum Machine LearningMolecular Property Prediction

  25. Adapting Evidential Neural Networks to Test-Time Neighbor Fusion Improves Molecular Property Prediction

    Jul 13, 2026Cameron Gruich, Weichi Yao, Yixin Wang +1Evidential Deep LearningBayesian Inference

  26. Beyond Scaffold Splits: Structural-Frontier Evaluation Reveals Hidden Failures in ADMET Models

    Jul 12, 2026Jiacheng Zheng, Chang Guo, Zixuan Wang +2OOD GeneralizationMolecular Property Prediction

  27. Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Embeddings

    Jul 7, 2026Qiwei Han, Chi Zhou, Ruobing Wang +1Molecular Property PredictionMultimodal Fusion

  28. AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms

    Jul 3, 2026Emmanuel Bengio, Sanjeev Raja, Yui Tik Pang +5Free Energy CalculationGenerative Modeling