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GeoMFormer: A General Architecture for Geometric Molecular
  Representation Learning

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning

24 June 2024
Tianlang Chen
Shengjie Luo
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
    AI4CE
ArXivPDFHTML

Papers citing "GeoMFormer: A General Architecture for Geometric Molecular Representation Learning"

10 / 10 papers shown
Title
Bridging Geometric States via Geometric Diffusion Bridge
Bridging Geometric States via Geometric Diffusion Bridge
Shengjie Luo
Yixian Xu
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
25
0
0
31 Oct 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task
  Learning
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
Yuxuan Ren
Dihan Zheng
Chang-Shu Liu
Peiran Jin
Yu Shi
Lin Huang
Jiyan He
Shengjie Luo
Tao Qin
Tie-Yan Liu
AI4CE
17
1
0
14 Oct 2024
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt
  Tensor Products
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
Shengjie Luo
Tianlang Chen
Aditi S. Krishnapriyan
14
19
0
18 Jan 2024
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
69
48
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
73
142
0
23 Jun 2022
Your Transformer May Not be as Powerful as You Expect
Your Transformer May Not be as Powerful as You Expect
Shengjie Luo
Shanda Li
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
Di He
52
50
0
26 May 2022
GRPE: Relative Positional Encoding for Graph Transformer
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
39
74
0
30 Jan 2022
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular
  Graphs
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Zhao Xu
Youzhi Luo
Xuan Zhang
Xinyi Xu
Yaochen Xie
Meng Liu
Kaleb Dickerson
Cheng Deng
Maho Nakata
Shuiwang Ji
33
39
0
30 Sep 2021
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
183
1,218
0
08 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
202
370
0
20 Oct 2020
1