SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

18 June 2020

Papers citing "SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks"

50 / 412 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 51 0 0 07 May 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation J. Qu Wenhan Gao Jiaxing Zhang Xufeng Liu Hua Wei Haibin Ling Y. Liu AI4CE 50 0 0 04 May 2025
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis Xuanhua Yin Dingxin Zhang Jianhui Yu Weidong Cai 25 0 0 19 Apr 2025
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens Shuqi Lu Haowei Lin Lin Yao Zhifeng Gao Xiaohong Ji W. Elwasif Linfeng Zhang Guolin Ke 43 0 0 20 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 48 0 0 14 Mar 2025
ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness Boqian Li Haiwen Feng Zeyu Cai M. Black Yuliang Xiu 3DH 57 1 0 13 Mar 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey Joohwan Seo Soochul Yoo Junwoo Chang Hyunseok An Hyunwoo Ryu Soomi Lee Arvind Kruthiventy Jongeun Choi R. Horowitz 67 2 0 12 Mar 2025
CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling Yusei Ito Tatsunori Taniai Ryo Igarashi Yoshitaka Ushiku K. Ono 60 0 0 04 Mar 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li Zaishuo Xia Lin Huang Xinran Wei Han Yang ... Zun Wang Chang-Shu Liu Jia Zhang Bin Shao Mark B. Gerstein 68 0 0 26 Feb 2025
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 49 4 0 23 Feb 2025
Value Gradient Sampler: Sampling as Sequential Decision Making Sangwoong Yoon Himchan Hwang Hyeokju Jeong Dong Kyu Shin Che-Sang Park Sehee Kwon Frank C. Park 69 0 0 18 Feb 2025
Symmetry-Preserving Diffusion Models via Target Symmetrization Vinh Tong Yun Ye Trung-Dung Hoang Anji Liu Guy Van den Broeck Mathias Niepert DiffM 75 0 0 17 Feb 2025
Fast and Accurate Antibody Sequence Design via Structure Retrieval Xingyi Zhang Kun Xie Ningqiao Huang W. Liu Peilin Zhao Sibo Wang Kangfei Zhao Biaobin Jiang 36 0 0 11 Feb 2025
A Periodic Bayesian Flow for Material Generation Hanlin Wu Yuxuan Song Jingjing Gong Ziyao Cao Y. Ouyang Jianbing Zhang Hao Zhou Wei-Ying Ma Jingjing Liu DiffM 64 1 0 04 Feb 2025
Transformers trained on proteins can learn to attend to Euclidean distance Isaac Ellmen Constantin Schneider Matthew I.J. Raybould Charlotte M. Deane 79 0 0 03 Feb 2025
Group Ligands Docking to Protein Pockets Jiaqi Guan Jiahan Li Xiangxin Zhou Xingang Peng Sheng Wang Yunan Luo Jian-wei Peng Jianzhu Ma 33 0 0 28 Jan 2025
A Survey on Memory-Efficient Large-Scale Model Training in AI for Science Kaiyuan Tian Linbo Qiao Baihui Liu Gongqingjian Jiang Dongsheng Li 31 0 0 21 Jan 2025
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems Vinay Sharma Olga Fink AI4CE 31 1 0 13 Jan 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Jiajun Zhu Peihao Wang Ruisi Cai Jason D. Lee Pan Li Z. Wang KELM 36 1 0 03 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 71 0 0 02 Jan 2025
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation Xiang Chen DiffM 69 0 0 05 Dec 2024
Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images M. Toso Stefano Fiorini Stuart James Alessio Del Bue 67 0 0 19 Nov 2024
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding Quang P.M. Pham Khoi T.N. Nguyen Lan C. Ngo Dezhen Song Truong Do Truong Son-Hy 3DPC 34 2 0 15 Nov 2024
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 26 0 0 11 Nov 2024
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction Zhao Xu Haiyang Yu Montgomery Bohde Shuiwang Ji 35 0 0 06 Nov 2024
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance Tomáš Karella Adam Harmanec J. Kotera Jan Blažek F. Šroubek 23 1 0 06 Nov 2024
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 27 1 0 06 Nov 2024
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy Chenrui Tie Yue Chen Ruihai Wu Boxuan Dong Z. Li Chongkai Gao Hao Dong 43 3 0 06 Nov 2024
Bridging Geometric States via Geometric Diffusion Bridge Shengjie Luo Yixian Xu Di He Shuxin Zheng Tie-Yan Liu Liwei Wang 32 0 0 31 Oct 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation Majdi Hassan Nikhil Shenoy Jungyoon Lee Hannes Stärk Stephan Thaler Dominique Beaini 22 6 0 29 Oct 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 42 2 0 23 Oct 2024
$Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment$ Music102: An $D_{12}$ -equivariant transformer for chord progression accompaniment Weiliang Luo 24 0 0 23 Oct 2024
On the VC dimension of deep group convolutional neural networks Anna Sepliarskaia S. Langer Johannes Schmidt-Hieber MLT 28 0 0 21 Oct 2024
Geometric Trajectory Diffusion Models Jiaqi Han Minkai Xu Aaron Lou Haotian Ye Stefano Ermon DiffM 43 4 0 16 Oct 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen Anyi Li Ning Lin Yuxiang Ren Zihe Wang Wenbing Huang 38 2 0 15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 35 0 0 13 Oct 2024
Deconstructing equivariant representations in molecular systems Kin Long Kelvin Lee Mikhail Galkin Santiago Miret 22 2 0 10 Oct 2024
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration Xueyang Kang Zhaoliang Luan Kourosh Khoshelham Bing Wang 3DPC 26 0 0 08 Oct 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need Xianlong Wang Minghui Li Wei Liu Hangtao Zhang Shengshan Hu Yechao Zhang Ziqi Zhou Hai Jin 3DPC MU 40 6 0 04 Oct 2024
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding Wei Yu Wu Chao Wang Liyi Chen Mingze Yin Yiheng Zhu Kun Fu Jieping Ye Hui Xiong Zheng Wang 28 1 0 04 Oct 2024
Text-guided Diffusion Model for 3D Molecule Generation Yanchen Luo Junfeng Fang Sihang Li Zhiyuan Liu Jiancan Wu An Zhang Wenjie Du Xiang Wang 29 6 0 04 Oct 2024
Ensembles provably learn equivariance through data augmentation Oskar Nordenfors Axel Flinth MLT 26 3 0 02 Oct 2024
Recent advances in interpretable machine learning using structure-based protein representations L. Vecchietti Minji Lee Begench Hangeldiyev Hyunkyu Jung Hahnbeom Park Tae-Kyun Kim Meeyoung Cha Ho Min Kim AI4CE 21 1 0 26 Sep 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 42 2 0 18 Sep 2024
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation Luigi Capogrosso Andrea Toaiari Andrea Avogaro Uzair Khan Aditya Jivoji Franco Fummi Marco Cristani 26 0 0 01 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 34 3 0 30 Aug 2024
Relaxed Rotational Equivariance via $G$ -Biases in Vision Zhiqiang Wu Licheng Sun Yingjie Liu Jian Yang Hanlin Dong S. J. Lin Xuan Tang Jinpeng Mi Bo Jin Xian Wei 23 0 0 22 Aug 2024
Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures Ce Liu Jun Wang Zhiqiang Cai Yingxu Wang Huizhen Kuang ... Yining Tang Fenglei Cao Limei Han Siyu Zhu Yuan Qi 3DV 13 0 0 22 Aug 2024
Geometry Informed Tokenization of Molecules for Language Model Generation Xiner Li Limei Wang Youzhi Luo Carl N. Edwards Shurui Gui Yuchao Lin Heng Ji Shuiwang Ji 29 6 0 19 Aug 2024
Representation Learning of Geometric Trees Zheng Zhang Allen Zhang Ruth Nelson Giorgio Ascoli Liang Zhao 20 0 0 16 Aug 2024