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EquiformerV2: Improved Equivariant Transformer for Scaling to
  Higher-Degree Representations

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

21 June 2023
Yidong Liao
Brandon M. Wood
Abhishek Das
Tess E. Smidt
ArXivPDFHTML

Papers citing "EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations"

22 / 22 papers shown
Title
Towards Faster and More Compact Foundation Models for Molecular Property Prediction
Towards Faster and More Compact Foundation Models for Molecular Property Prediction
Yasir Ghunaim
Andrés Villa
Gergo Ignacz
Gyorgy Szekely
Motasem Alfarra
Bernard Ghanem
AI4CE
84
0
0
28 Apr 2025
Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles
Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles
Tirtha Vinchurkar
Kareem Abdelmaqsoud
John R. Kitchin
AI4CE
86
0
0
17 Apr 2025
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
Alexander Windmann
Henrik S. Steude
Daniel Boschmann
Oliver Niggemann
OOD
AI4TS
31
0
0
04 Apr 2025
A practical guide to machine learning interatomic potentials -- Status and future
Ryan Jacobs
D. Morgan
Siamak Attarian
Jun Meng
Chen Shen
...
K. J. Schmidt
So Takamoto
Aidan Thompson
Julia Westermayr
Brandon M. Wood
55
4
0
12 Mar 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
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
Equivariant Masked Position Prediction for Efficient Molecular Representation
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An
C. Qu
Yun-Fei Shi
XinHao Liu
Qianwei Tang
Fenglei Cao
Yuan Qi
35
0
0
12 Feb 2025
Learning local equivariant representations for quantum operators
Learning local equivariant representations for quantum operators
Zhanghao Zhouyin
Zixi Gan
MingKang Liu
S. K. Pandey
Linfeng Zhang
Qiangqiang Gu
70
3
0
28 Jan 2025
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
Filippo Bigi
Marcel F. Langer
Michele Ceriotti
AI4CE
91
6
0
16 Dec 2024
Relaxed Equivariance via Multitask Learning
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
42
2
0
23 Oct 2024
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Luis Barroso-Luque
Muhammed Shuaibi
Xiang Fu
Brandon M. Wood
Misko Dzamba
Meng Gao
Ammar Rizvi
C. L. Zitnick
Zachary W. Ulissi
AI4CE
PINN
24
16
0
16 Oct 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Makoto Takamoto
Viktor Zaverkin
Mathias Niepert
AI4CE
55
0
0
23 Jul 2024
GeoMFormer: A General Architecture for Geometric Molecular
  Representation Learning
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen
Shengjie Luo
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
AI4CE
36
5
0
24 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates
Flexible SE(2) graph neural networks with applications to PDE surrogates
Maria Bånkestad
Olof Mogren
Aleksis Pirinen
39
1
0
30 May 2024
A Recipe for Charge Density Prediction
A Recipe for Charge Density Prediction
Xiang Fu
Andrew S. Rosen
Kyle Bystrom
Rui Wang
Albert Musaelian
Boris Kozinsky
Tess E. Smidt
Tommi Jaakkola
39
5
0
29 May 2024
Steerable Transformers
Steerable Transformers
Soumyabrata Kundu
Risi Kondor
ViT
LLMSV
22
1
0
24 May 2024
Matbench Discovery -- A framework to evaluate machine learning crystal
  stability predictions
Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions
Janosh Riebesell
Rhys E. A. Goodall
Philipp Benner
Chiang Yuan
Bowen Deng
A. Lee
Anubhav Jain
Kristin A. Persson
OOD
24
33
0
28 Aug 2023
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
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
Spherical Channels for Modeling Atomic Interactions
Spherical Channels for Modeling Atomic Interactions
C. L. Zitnick
Abhishek Das
Adeesh Kolluru
Janice Lan
Muhammed Shuaibi
Anuroop Sriram
Zachary W. Ulissi
Brandon M. Wood
79
57
0
29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
  Graphs
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
75
211
0
23 Jun 2022
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
190
1,229
0
08 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,427
0
04 Jan 2021
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
221
498
0
20 Oct 2020
1