2 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.QM2023★ 2 cited
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
Bingxin Zhou, Outongyi Lv, Kai Yi +4
Directed evolution as a widely-used engineering strategy faces obstacles in finding desired mutants from the massive size of candidate modifications. While deep learning methods le…
q-bio.QM2023
Graph Representation Learning for Interactive Biomolecule Systems
Xinye Xiong, Bingxin Zhou, Yu Guang Wang
Advances in deep learning models have revolutionized the study of biomolecule systems and their mechanisms. Graph representation learning, in particular, is important for accuratel…
eess.IV2022★ 1 cited
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images
Yiqing Shen, Bingxin Zhou, Xinye Xiong +2
Gigapixel medical images provide massive data, both morphological textures and spatial information, to be mined. Due to the large data scale in histology, deep learning methods pla…