Generalist Equivariant Transformer Towards 3D Molecular Interaction
Learning

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Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

International Conference on Machine Learning (ICML), 2023

2 June 2023

Yang Liu

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Papers citing "Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning"

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Title
Unified all-atom molecule generation with neural fields Matthieu Kirchmeyer Pedro H. O. Pinheiro Emma Willett Karolis Martinkus J. Kleinhenz Emily K. Makowski Andrew Watkins Vladimir Gligorijević Richard Bonneau Saeed Saremi DiffM 176 0 0 19 Nov 2025
Universally Invariant Learning in Equivariant GNNs Jiacheng Cen Anyi Li Ning Lin Tingyang Xu Yu Rong Deli Zhao Zihe Wang Wenbing Huang 120 1 0 15 Oct 2025
Learning Protein-Ligand Binding in Hyperbolic Space Jianhui Wang Wenyu Zhu Bowen Gao Xin Hong Ya Zhang Wei-Ying Ma Yanyan Lan 80 0 0 21 Aug 2025
Tokenizing Electron Cloud in Protein-Ligand Interaction Learning H. Lin Odin Zhang Jia Xu Yunfan Liu Zheng Cheng Lirong Wu Yufei Huang Zhifeng Gao Stan Z. Li 194 3 0 25 May 2025
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?Neural Information Processing Systems (NeurIPS), 2024 Jiacheng Cen Anyi Li Ning Lin Yuxiang Ren Zihe Wang Wenbing Huang 347 16 0 15 Oct 2024
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning Rong Han Wenbing Huang Lingxiao Luo Xinyan Han Jiaming Shen Qing Cui Jun Zhou Ting Chen 134 2 0 02 Apr 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 521 47 0 01 Mar 2024