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Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

3 February 2024
D. M. Nguyen
Nina Lukashina
Tai Nguyen
An T. Le
TrungTin Nguyen
Nhat Ho
Jan Peters
Daniel Sonntag
Viktor Zaverkin
Mathias Niepert
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Papers citing "Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks"

8 / 8 papers shown
Title
LoGra-Med: Long Context Multi-Graph Alignment for Medical
  Vision-Language Model
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model
Duy M. H. Nguyen
N. T. Diep
Trung Q. Nguyen
Hoang-Bao Le
Tai Nguyen
...
Pengtao Xie
Roger Wattenhofer
James Zhou
Daniel Sonntag
Mathias Niepert
VLM
55
3
0
03 Oct 2024
Dude: Dual Distribution-Aware Context Prompt Learning For Large
  Vision-Language Model
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
D. M. Nguyen
An T. Le
Trung Q. Nguyen
N. T. Diep
Tai Nguyen
D. Duong-Tran
Jan Peters
Li Shen
Mathias Niepert
Daniel Sonntag
VLM
43
3
0
05 Jul 2024
Template based Graph Neural Network with Optimal Transport Distances
Template based Graph Neural Network with Optimal Transport Distances
Cédric Vincent-Cuaz
Rémi Flamary
Marco Corneli
Titouan Vayer
Nicolas Courty
OT
46
20
0
31 May 2022
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
126
302
0
07 Oct 2021
Online Graph Dictionary Learning
Online Graph Dictionary Learning
Cédric Vincent-Cuaz
Titouan Vayer
Rémi Flamary
Marco Corneli
Nicolas Courty
34
44
0
12 Feb 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
206
1,240
0
08 Jan 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
187
1,778
0
02 Mar 2017
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