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Symmetry-Informed Geometric Representation for Molecules, Proteins, and
  Crystalline Materials

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

15 June 2023
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
Chenru Duan
Zhiming Ma
O. Yaghi
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials"

15 / 15 papers shown
Title
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
Wangzhi Zhan
Jianpeng Chen
Dongqi Fu
Dawei Zhou
AI4CE
20
0
0
05 Jun 2025
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
Tinglin Huang
Tianyu Liu
Mehrtash Babadi
Wengong Jin
Rex Ying
MedIm
17
0
0
25 May 2025
EDBench: Large-Scale Electron Density Data for Molecular Modeling
EDBench: Large-Scale Electron Density Data for Molecular Modeling
Hongxin Xiang
Ke Li
M. Liu
Zhixiang Cheng
Bin Yao
Wenjie Du
Jun Xia
Li Zeng
Xin Jin
Xiangxiang Zeng
59
0
0
14 May 2025
Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks
Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks
Chenru Duan
Aditya Nandy
Sizhan Liu
Yuanqi Du
Liu He
Yi Qu
Haojun Jia
Jin-Hu Dou
AI4CE
93
0
0
13 May 2025
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
Jianpeng Chen
Wangzhi Zhan
Haohui Wang
Z. Jia
Jingru Gan
...
Lifu Huang
Muhao Chen
Ling Li
Wei Wang
Dawei Zhou
34
1
0
08 May 2025
Flow Along the K-Amplitude for Generative Modeling
Flow Along the K-Amplitude for Generative Modeling
Weitao Du
Shuning Chang
Jiasheng Tang
Yu Rong
F. Wang
Shengchao Liu
84
0
0
27 Apr 2025
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Hrishikesh Viswanath
Yue Chang
Julius Berner
Julius Berner
Peter Yichen Chen
Aniket Bera
AI4CE
169
2
0
04 Jul 2024
Evaluating representation learning on the protein structure universe
Evaluating representation learning on the protein structure universe
Arian R. Jamasb
Alex Morehead
Chaitanya K. Joshi
Zuobai Zhang
Kieran Didi
...
Charles Harris
Jian Tang
Jianlin Cheng
Pietro Lio
Tom L. Blundell
SSL
119
13
0
19 Jun 2024
A Multi-Grained Symmetric Differential Equation Model for Learning
  Protein-Ligand Binding Dynamics
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Vignesh C. Bhethanabotla
...
O. Yaghi
C. Borgs
A. Anandkumar
Hongyu Guo
J. Chayes
AI4CE
82
4
0
26 Jan 2024
A quatum inspired neural network for geometric modeling
A quatum inspired neural network for geometric modeling
Weitao Du
Shengchao Liu
Xuecang Zhang
AI4CE
79
0
0
03 Jan 2024
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D
  Diffusion
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Weitao Du
Jiujiu Chen
Xuecang Zhang
Zhiming Ma
Shengchao Liu
DiffM
80
9
0
06 Dec 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu
Weitao Du
Zhiming Ma
Hongyu Guo
Jian Tang
107
33
0
28 May 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
130
70
0
09 Feb 2023
Material Property Prediction using Graphs based on Generically Complete
  Isometry Invariants
Material Property Prediction using Graphs based on Generically Complete Isometry Invariants
Jonathan Balasingham
Viktor Zamaraev
Vitaliy Kurlin
49
5
0
19 Dec 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Hanchen Wang
Jean Kaddour
Shengchao Liu
Jian Tang
Joan Lasenby
Qi Liu
121
23
0
16 Jun 2022
1