25 citations · 38 across the 5 of their papers we have counts for
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cs.LG2023★ 25 cited
A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems
Shuo Zhang, Yang Liu, Lei Xie
Molecular sciences address a wide range of problems involving molecules of different types and sizes and their complexes. Recently, geometric deep learning, especially Graph Neural…
cs.LG2023
Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks
Shuo Zhang, Yang Liu, Li Xie +1
To learn accurate representations of molecules, it is essential to consider both chemical and geometric features. To encode geometric information, many descriptors have been propos…
cs.LG2022★ 6 cited
Physics-aware Graph Neural Network for Accurate RNA 3D Structure Prediction
Shuo Zhang, Yang Liu, Lei Xie
Biological functions of RNAs are determined by their three-dimensional (3D) structures. Thus, given the limited number of experimentally determined RNA structures, the prediction o…