GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

6 March 2022

Jian Tang

Papers citing "GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation"

31 / 331 papers shown

Title
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model Zhuoran Qiao Weili Nie Arash Vahdat Thomas F. Miller Anima Anandkumar DiffM 44 86 0 30 Sep 2022
Probabilistic Generative Transformer Language models for Generative Design of Molecules Lai Wei Nihang Fu Yuqi Song Qian Wang Jianjun Hu AI4CE 56 11 0 20 Sep 2022
MDM: Molecular Diffusion Model for 3D Molecule Generation Lei Huang Hengtong Zhang Tingyang Xu Ka-Chun Wong DiffM 49 82 0 13 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 52 23 0 12 Sep 2022
Blurring Diffusion Models Emiel Hoogeboom Tim Salimans DiffM 48 77 0 12 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 56 212 0 06 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 50 110 0 02 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 235 1,331 0 02 Sep 2022
Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential Simon Axelrod E. Shakhnovich Rafael Gómez-Bombarelli 36 20 0 23 Jul 2022
Unified 2D and 3D Pre-Training of Molecular Representations Jinhua Zhu Yingce Xia Lijun Wu Shufang Xie Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu AI4CE 78 69 0 14 Jul 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery Matteo Manica Jannis Born Joris Cadow Dimitrios Christofidellis A. Dave ... Lauren N. McHugh Alexy Khrabrov Payel Das Seiji Takeda John Smith 29 26 0 08 Jul 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 40 11 0 17 Jun 2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem Brian L. Trippe Jason Yim D. Tischer D. Baker Tamara Broderick Regina Barzilay Tommi Jaakkola DiffM 25 233 0 08 Jun 2022
Neural Diffusion Processes Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 47 40 0 08 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo Sung Ju Hwang OODD 53 77 0 06 Jun 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 47 265 0 01 Jun 2022
Pre-training via Denoising for Molecular Property Prediction Sheheryar Zaidi Michael Schaarschmidt James Martens Hyunjik Kim Yee Whye Teh Alvaro Sanchez-Gonzalez Peter W. Battaglia Razvan Pascanu Jonathan Godwin DiffM AI4CE 60 123 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 198 49 0 30 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 201 174 0 26 May 2022
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations Fang Wu Stan Z. Li DiffM 37 32 0 19 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 51 586 0 31 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 80 89 0 28 Mar 2022
Direct Molecular Conformation Generation Jinhua Zhu Yingce Xia Chang-Shu Liu Lijun Wu Shufang Xie ... Tao Qin Wen-gang Zhou Houqiang Li Haiguang Liu Tie-Yan Liu 41 41 0 03 Feb 2022
Regression Transformer: Concurrent sequence regression and generation for molecular language modeling Jannis Born Matteo Manica 18 92 0 01 Feb 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 32 3 0 26 Dec 2021
Crystal Diffusion Variational Autoencoder for Periodic Material Generation Tian Xie Xiang Fu O. Ganea Regina Barzilay Tommi Jaakkola DiffM BDL 214 238 0 12 Oct 2021
Inverse design of 3d molecular structures with conditional generative neural networks Niklas W. A. Gebauer M. Gastegger Stefaan S. P. Hessmann Klaus-Robert Muller Kristof T. Schütt AI4CE 194 169 0 10 Sep 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 16 18 0 02 Jun 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 192 729 0 02 Mar 2021
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 263 1,253 0 08 Jan 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 257 1,350 0 12 Feb 2018