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
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 22 44 0 17 Mar 2022
Equivariant Graph Mechanics Networks with Constraints Wen-bing Huang J. Han Yu Rong Tingyang Xu Fuchun Sun Junzhou Huang AI4CE 25 78 0 12 Mar 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 11 27 0 11 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 20 28 0 07 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 9 494 0 06 Mar 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 14 13 0 02 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 16 20 0 28 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 13 4 0 22 Feb 2022
Equivariant Graph Attention Networks for Molecular Property Prediction Tuan Le Frank Noé Djork-Arné Clevert 11 21 0 20 Feb 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 38 78 0 18 Feb 2022
Transformer for Graphs: An Overview from Architecture Perspective Erxue Min Runfa Chen Yatao Bian Tingyang Xu Kangfei Zhao Wenbing Huang P. Zhao Junzhou Huang Sophia Ananiadou Yu Rong 14 137 0 17 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 15 40 0 15 Feb 2022
Semi-Equivariant GNN Architectures for Jet Tagging D. Murnane S. Thais Jason D. Wong GNN 6 6 0 14 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 17 8 0 08 Feb 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction Hannes Stärk O. Ganea L. Pattanaik Regina Barzilay Tommi Jaakkola 6 260 0 07 Feb 2022
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials Philipp Thölke Gianni de Fabritiis AI4CE 13 183 0 05 Feb 2022
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB Zhangyang Gao Cheng Tan Stan Z. Li 137 52 0 01 Feb 2022
Generative Coarse-Graining of Molecular Conformations Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess E. Smidt Yusu Wang Jian Tang Rafael Gómez-Bombarelli 4 34 0 28 Jan 2022
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands Ayan Chatterjee Robin G. Walters Zohair Shafi O. Ahmed Michael Sebek D. Gysi Rose Yu Tina Eliassi-Rad A. Barabási G. Menichetti AI4CE 8 4 0 25 Dec 2021
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 23 7 0 23 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Eric Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 8 6 0 23 Dec 2021
Encoding protein dynamic information in graph representation for functional residue identification Chiang Yuan Weiwei Hui Shu-Wei Chang 11 7 0 15 Dec 2021
Attention-based Transformation from Latent Features to Point Clouds Kaiyi Zhang Ximing Yang Yuan Wu Cheng Jin 3DPC 11 19 0 10 Dec 2021
Bringing Atomistic Deep Learning to Prime Time Nathan C. Frey S. Samsi Bharath Ramsundar Connor W. Coley V. Gadepally AI4CE 12 0 0 09 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 65 26 0 06 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 22 13 0 03 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 11 50 0 02 Dec 2021
Robust Partial-to-Partial Point Cloud Registration in a Full Range Liang Pan Zhongang Cai Ziwei Liu 3DPC 28 22 0 30 Nov 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 21 19 0 30 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 10 0 0 25 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds R. Wiersma Ahmad Nasikun E. Eisemann Klaus Hildebrandt 3DPC 11 16 0 16 Nov 2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking O. Ganea Xinyuan Huang Charlotte Bunne Yatao Bian Regina Barzilay Tommi Jaakkola Andreas Krause 11 148 0 15 Nov 2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space Jiehong Lin Hongyang Li Ke Chen Jiangbo Lu K. Jia 3DPC 11 20 0 14 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 33 35 0 08 Nov 2021
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li Yijia Weng Li Yi Leonidas J. Guibas A. L. Abbott Shuran Song He-Nan Wang 3DPC 31 52 0 30 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei-Neng Chen Bin Shao Tie-Yan Liu 48 78 0 26 Oct 2021
Geometric Transformer for End-to-End Molecule Properties Prediction Yoni Choukroun Lior Wolf AI4CE ViT 17 16 0 26 Oct 2021
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations Simon Giebenhain Bastian Goldlücke 3DPC 16 15 0 22 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 11 26 0 19 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 11 16 0 15 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 11 2 0 14 Oct 2021
Crystal Diffusion Variational Autoencoder for Periodic Material Generation Tian Xie Xiang Fu O. Ganea Regina Barzilay Tommi Jaakkola DiffM BDL 204 227 0 12 Oct 2021
Relative Molecule Self-Attention Transformer Lukasz Maziarka Dawid Majchrowski Tomasz Danel Piotr Gaiñski Jacek Tabor Igor T. Podolak Pawel M. Morkisz Stanislaw Jastrzebski MedIm 32 33 0 12 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 31 27 0 09 Oct 2021
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations Keir Adams L. Pattanaik Connor W. Coley 19 32 0 08 Oct 2021
A simple equivariant machine learning method for dynamics based on scalars Weichi Yao Kate Storey-Fisher D. Hogg Soledad Villar AI4CE 35 9 0 07 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 112 300 0 07 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 15 227 0 06 Oct 2021
Geometric Transformers for Protein Interface Contact Prediction Alex Morehead Chen Chen Jianlin Cheng 29 28 0 06 Oct 2021