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Wenbing Huang

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Functional Protein Design with Local Domain Alignment

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Apr 18, 2024
Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

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HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning

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Apr 02, 2024
Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen

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Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence

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Apr 01, 2024
Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang

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A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

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Mar 01, 2024
Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang

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Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules

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Feb 20, 2024
Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu

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Space Group Constrained Crystal Generation

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Feb 06, 2024
Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

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Macro Graph Neural Networks for Online Billion-Scale Recommender Systems

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Jan 26, 2024
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang

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Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

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Jan 17, 2024
Ziyang Yu, Wenbing Huang, Yang Liu

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Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

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Jun 21, 2023
Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

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Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

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Jun 05, 2023
Xiangzhe Kong, Wenbing Huang, Yang Liu

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