ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.11768
  4. Cited By
A Systematic Survey in Geometric Deep Learning for Structure-based Drug
  Design

A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design

20 June 2023
Zaixin Zhang
Jiaxian Yan
Qi Liu
Enhong Chen
Marinka Zitnik
ArXivPDFHTML

Papers citing "A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design"

10 / 10 papers shown
Title
Hierarchical Graph Transformer with Adaptive Node Sampling
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
65
82
0
08 Oct 2022
Equivariant Shape-Conditioned Generation of 3D Molecules for
  Ligand-Based Drug Design
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
Keir Adams
Connor W. Coley
29
23
0
06 Oct 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
130
399
0
04 Oct 2022
Predicting Protein-Ligand Binding Affinity via Joint Global-Local
  Interaction Modeling
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling
Yang Zhang
G. Zhou
Zhewei Wei
Hongteng Xu
16
9
0
18 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
38
82
0
07 Sep 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
211
0
23 Jun 2022
A 3D Generative Model for Structure-Based Drug Design
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo
Jiaqi Guan
Jianzhu Ma
Jian-wei Peng
DiffM
65
176
0
20 Mar 2022
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
196
224
0
12 Oct 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
102
314
0
25 Apr 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
1