3 citations · 7 across the 8 of their papers we have counts for
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cs.CE2024★ 2 cited
Multimodal Fusion with Relational Learning for Molecular Property Prediction
Zhengyang Zhou, Yunrui Li, Pengyu Hong +1
Graph based molecular representation learning is essential for accurately predicting molecular properties in drug discovery and materials science; however, it faces significant cha…
cs.LG2024
TransPeakNet: Solvent-Aware 2D NMR Prediction via Multi-Task Pre-Training and Unsupervised Learning
Yunrui Li, Hao Xu, Ambrish Kumar +4
Nuclear Magnetic Resonance (NMR) spectroscopy is essential for revealing molecular structure, electronic environment, and dynamics. Accurate NMR shift prediction allows researchers…
cs.LG2024★ 1 cited
Graph Multi-Similarity Learning for Molecular Property Prediction
Hao Xu, Zhengyang Zhou, Pengyu Hong
Enhancing accurate molecular property prediction relies on effective and proficient representation learning. It is crucial to incorporate diverse molecular relationships characteri…