3 papers
cs.CL2025
Enhancing Molecular Property Prediction with Knowledge from Large Language Models
Peng Zhou, Lai Hou Tim, Zhixiang Cheng +4
Predicting molecular properties is a critical component of drug discovery. Recent advances in deep learning, particularly Graph Neural Networks (GNNs), have enabled end-to-end lear…
physics.chem-ph2025
EDBench: Large-Scale Electron Density Data for Molecular Modeling
Hongxin Xiang, Ke Li, Mingquan Liu +7
Existing molecular machine learning force fields (MLFFs) generally focus on the learning of atoms, molecules, and simple quantum chemical properties (such as energy and force), but…
cs.CV2024
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs
Zhixiang Cheng, Hongxin Xiang, Pengsen Ma +9
Activity cliffs, which refer to pairs of molecules that are structurally similar but show significant differences in their potency, can lead to model representation collapse and ma…