LIMO: Latent Inceptionism for Targeted Molecule Generation

17 June 2022

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Papers citing "LIMO: Latent Inceptionism for Targeted Molecule Generation"

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Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 119 1 0 08 Mar 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Zhiyuan Liu Yanchen Luo Han Huang Enzhi Zhang Changhao Nai Sihang Li Yaorui Shi Xiang Wang Kenji Kawaguchi Tat-Seng Chua 168 3 0 18 Feb 2025
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Xiuyuan Hu Guoqing Liu Can Chen Yang Zhao Jun Wang Xue Liu 99 2 0 07 Feb 2025
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann D. Wu G. Heinzelmann Michael K. Gilson Rose Yu AI4CE 78 0 0 15 Oct 2024
GP-MoLFormer: A Foundation Model For Molecular Generation Jerret Ross Brian M. Belgodere Samuel C. Hoffman Vijil Chenthamarakshan Youssef Mroueh Payel Das Payel Das 76 6 0 04 Apr 2024
Differentiable Scaffolding Tree for Molecular Optimization Tianfan Fu Wenhao Gao Cao Xiao Jacob Yasonik Connor W. Coley Jimeng Sun 75 78 0 22 Sep 2021
Improving black-box optimization in VAE latent space using decoder uncertainty Pascal Notin José Miguel Hernández-Lobato Y. Gal 130 62 0 30 Jun 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery Yutong Xie Chence Shi Hao Zhou Yuwei Yang Weinan Zhang Yong Yu Lei Li 88 144 0 18 Mar 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 230 199 0 01 Feb 2021
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 127 293 0 17 Jun 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 79 288 0 08 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 173 438 0 26 Jan 2020
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space AkshatKumar Nigam Pascal Friederich Mario Krenn Alán Aspuru-Guzik AI4CE 50 131 0 25 Sep 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 108 192 0 28 May 2019
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 259 651 0 29 Nov 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 94 540 0 19 Oct 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 121 209 0 07 Sep 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 293 902 0 07 Jun 2018
Syntax-Directed Variational Autoencoder for Structured Data H. Dai Yingtao Tian Bo Dai Steven Skiena Le Song 102 329 0 24 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 352 1,368 0 12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 117 851 0 09 Feb 2018
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models G. L. Guimaraes Benjamín Sánchez-Lengeling Carlos Outeiral Pedro Luis Cunha Farias Alán Aspuru-Guzik GAN 82 525 0 30 May 2017
Molecular De Novo Design through Deep Reinforcement Learning Marcus Olivecrona T. Blaschke Ola Engkvist Hongming Chen BDL 128 1,016 0 25 Apr 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 85 843 0 06 Mar 2017
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 171 2,932 0 07 Oct 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013