Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.10503
Cited By
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
18 June 2020
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
Re-assign community
ArXiv
PDF
HTML
Papers citing
"SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks"
50 / 412 papers shown
Title
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
Rui Feng
Qi Zhu
Huan Tran
Binghong Chen
Aubrey Toland
R. Ramprasad
Chao Zhang
AI4CE
14
9
0
24 Aug 2023
Approximately Equivariant Graph Networks
Ningyuan Huang
Ron Levie
Soledad Villar
32
18
0
21 Aug 2023
SE(3) Equivariant Augmented Coupling Flows
Laurence I. Midgley
Vincent Stimper
Javier Antorán
Emile Mathieu
Bernhard Schölkopf
José Miguel Hernández-Lobato
30
22
0
20 Aug 2023
Leveraging Symmetries in Pick and Place
Hao-zhe Huang
Dian Wang
Arsh Tangri
Robin G. Walters
Robert W. Platt
25
14
0
15 Aug 2023
Semantic Equivariant Mixup
Zongbo Han
Tianchi Xie
Bing Wu
Qinghua Hu
Changqing Zhang
AAML
39
0
0
12 Aug 2023
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao
Wen-bing Huang
Peijia Lin
Jiaqi Han
Pin Chen
Yutong Lu
Yang Liu
DiffM
11
59
0
30 Jul 2023
Learned Gridification for Efficient Point Cloud Processing
P. A. V. D. Linden
David W. Romero
Erik J. Bekkers
3DPC
18
2
0
22 Jul 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto
Chuanbo Hua
Junyoung Park
Laurin Luttmann
Yining Ma
...
Guojie Song
Changhyun Kwon
Kevin Tierney
Lin Xie
Jinkyoo Park
OffRL
22
27
0
29 Jun 2023
StrainTensorNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks
T. Pakornchote
A. Ektarawong
Thiparat Chotibut
13
4
0
22 Jun 2023
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yidong Liao
Brandon M. Wood
Abhishek Das
Tess E. Smidt
19
128
0
21 Jun 2023
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
Haiyang Yu
Meng Liu
Youzhi Luo
A. Strasser
X. Qian
Xiaoning Qian
Shuiwang Ji
8
20
0
15 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
...
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
AI4CE
29
19
0
15 Jun 2023
E
(
2
)
E(2)
E
(
2
)
-Equivariant Vision Transformer
Renjun Xu
Kaifan Yang
Ke Liu
Fengxiang He
ViT
MDE
11
9
0
11 Jun 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
Guillem Simeon
Gianni de Fabritiis
19
44
0
10 Jun 2023
Normalization-Equivariant Neural Networks with Application to Image Denoising
Sébastien Herbreteau
E. Moebel
Charles Kervrann
12
9
0
08 Jun 2023
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
Haiyang Yu
Zhao Xu
X. Qian
Xiaoning Qian
Shuiwang Ji
23
24
0
08 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim
Tien Dat Nguyen
Ayhan Suleymanzade
Hyeokjun An
Seunghoon Hong
40
23
0
05 Jun 2023
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
Yang Zhang
Zuobai Zhang
Bozitao Zhong
Sanchit Misra
Jian Tang
DiffM
14
31
0
01 Jun 2023
Smooth, exact rotational symmetrization for deep learning on point clouds
Sergey Pozdnyakov
Michele Ceriotti
3DPC
30
25
0
30 May 2023
Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen
Jiaqi Han
Fuchun Sun
Wen-bing Huang
OffRL
23
9
0
30 May 2023
Geometric Algebra Transformer
Johann Brehmer
P. D. Haan
S. Behrends
Taco S. Cohen
31
25
0
28 May 2023
Investigating how ReLU-networks encode symmetries
Georg Bökman
Fredrik Kahl
22
6
0
26 May 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
Congyue Deng
Jiahui Lei
Bokui Shen
Kostas Daniilidis
Leonidas J. Guibas
3DPC
20
15
0
25 May 2023
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
Lingbing Guo
Wei-Qun Wang
Zhuo Chen
Ningyu Zhang
Zequn Sun
Yixuan Lai
Qiang Zhang
Huajun Chen
14
5
0
24 May 2023
Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science
D. P. Kovács
Ilyes Batatia
E. Arany
Gábor Csányi
AI4CE
16
81
0
23 May 2023
Clifford Group Equivariant Neural Networks
David Ruhe
Johannes Brandstetter
Patrick Forré
19
34
0
18 May 2023
Towards Multi-Layered 3D Garments Animation
Yidi Shao
Chen Change Loy
Bo Dai
3DH
AI4CE
11
10
0
17 May 2023
Object Re-Identification from Point Clouds
Benjamin Thérien
Chengjie Huang
Adrian Chow
Krzysztof Czarnecki
3DPC
28
2
0
17 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Yiming Cui
Lecheng Ruan
Hang Dong
Qiang Li
Zhongming Wu
T. Zeng
Fengyu Fan
3DPC
31
0
0
13 May 2023
E(n) Equivariant Message Passing Simplicial Networks
Floor Eijkelboom
Rob D. Hesselink
Erik J. Bekkers
17
14
0
11 May 2023
Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files
Daniel Flam-Shepherd
Alán Aspuru-Guzik
17
51
0
09 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu
Alexander Powers
R. Dror
Stefano Ermon
J. Leskovec
DiffM
AI4CE
48
133
0
02 May 2023
3D Molecular Geometry Analysis with 2D Graphs
Zhao Xu
Yaochen Xie
Youzhi Luo
Xuan Zhang
Xinyi Xu
Meng Liu
Kaleb Dickerson
Cheng Deng
Maho Nakata
Shuiwang Ji
13
1
0
01 May 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Alexandre Duval
Victor Schmidt
A. Garcia
Santiago Miret
Fragkiskos D. Malliaros
Yoshua Bengio
David Rolnick
20
52
0
28 Apr 2023
MUDiff: Unified Diffusion for Complete Molecule Generation
Chenqing Hua
Sitao Luan
Minkai Xu
Rex Ying
Jie Fu
Stefano Ermon
Doina Precup
DiffM
41
34
0
28 Apr 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
Haiwen Feng
Peter Kulits
Shichen Liu
Michael J. Black
Victoria Fernandez-Abrevaya
3DPC
3DH
14
10
0
20 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
25
141
0
11 Apr 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks
Weitao Du
Yuanqi Du
Limei Wang
Dieqiao Feng
Guifeng Wang
Shuiwang Ji
Carla P. Gomes
Zhixin Ma
AI4CE
15
33
0
07 Apr 2023
GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising
Hyeonsu Kim
Jeheon Woo
Seonghwan Kim
Seokhyun Moon
Jun Hyeong Kim
Woo Youn Kim
AI4CE
24
6
0
28 Mar 2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
Minghan Zhu
Shizong Han
H. Cai
Shubhankar Borse
M. G. Jadidi
Fatih Porikli
3DPC
38
15
0
28 Mar 2023
Learning Harmonic Molecular Representations on Riemannian Manifold
Yiqun Wang
Yuning Shen
Shih‐Ya Chen
Lihao Wang
Fei Ye
Hao Zhou
25
12
0
27 Mar 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
Jiahui Lei
Congyue Deng
Karl Schmeckpeper
Leonidas J. Guibas
Kostas Daniilidis
3DPC
14
21
0
27 Mar 2023
Link Prediction for Flow-Driven Spatial Networks
Bastian Wittmann
Johannes C. Paetzold
Chinmay Prabhakar
Daniel Rueckert
Bjoern H. Menze
GNN
19
7
0
25 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks
Axel Flinth
F. Ohlsson
25
5
0
23 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Chenxin Xu
R. Tan
Yuhong Tan
Siheng Chen
Yu Wang
Xinchao Wang
Yanfeng Wang
22
96
0
20 Mar 2023
MELON: NeRF with Unposed Images in SO(3)
A. Levy
Mark J. Matthews
Matan Sela
Gordon Wetzstein
Dmitry Lagun
33
1
0
14 Mar 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan
Wesley Wei Qian
Xingang Peng
Yufeng Su
Jian-wei Peng
Jianzhu Ma
DiffM
15
162
0
06 Mar 2023
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction
Bo-Lan Wang
Chen Liang
Jiaze Wang
Furui Liu
Shaogang Hao
Dong Li
Jianye Hao
Guangyong Chen
Xiaolong Zou
Pheng-Ann Heng
39
3
0
06 Mar 2023
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
Yuyang Wang
Chang Xu
Zijie Li
A. Farimani
AAML
AI4CE
19
20
0
03 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances
M. Rath
A. P. Condurache
11
4
0
02 Mar 2023
Previous
1
2
3
4
5
6
7
8
9
Next