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2103.10432
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MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
18 March 2021
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
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Papers citing
"MARS: Markov Molecular Sampling for Multi-objective Drug Discovery"
50 / 88 papers shown
Title
LLM-Augmented Chemical Synthesis and Design Decision Programs
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Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
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Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
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Yi Xiao
Haowei Lin
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Qiang Liu
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Liang Wang
Jianzhu Ma
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06 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
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Ziqi Gao
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Yang Liu
Yatao Bian
Yu Rong
Junzhou Huang
Jia Li
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03 Mar 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
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Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Junfeng Fang
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Kenji Kawaguchi
Tat-Seng Chua
100
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18 Feb 2025
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
Nian Ran
Yue Wang
Richard Allmendinger
58
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18 Feb 2025
Neural Flow Samplers with Shortcut Models
Wuhao Chen
Zijing Ou
Yingzhen Li
77
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11 Feb 2025
Molecule Generation with Fragment Retrieval Augmentation
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Karsten Kreis
Srimukh Prasad Veccham
Meng Liu
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Saee Paliwal
Arash Vahdat
Weili Nie
VLM
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1
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18 Nov 2024
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization
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Xiaoyuan Zhang
Chulin Xie
Kate Donahue
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13
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0
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MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
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Mitigating Exposure Bias in Score-Based Generation of Molecular Conformations
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Chen Wang
Zhenhao Zhao
Jiqiang Zhang
Weiran Cai
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21 Sep 2024
Decomposed Direct Preference Optimization for Structure-Based Drug Design
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Xiangxin Zhou
Yuwei Yang
Yu Bao
Quanquan Gu
38
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19 Jul 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
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A. Baratin
Kisoo Kwon
Boris Knyazev
Yan Zhang
33
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12 Jul 2024
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation
Siddartha Reddy N
Sai Prakash MV
V. Varun
Vishal Vaddina
Saisubramaniam Gopalakrishnan
49
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0
02 Jul 2024
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
Danqing Wang
Antonis Antoniades
Kha-Dinh Luong
Edwin Zhang
Mert Kosan
Jiachen Li
Ambuj Singh
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Lei Li
AI4CE
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19 Jun 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
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Sanket R. Jantre
Nathan M. Urban
Byung-Jun Yoon
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Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
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A Review on Fragment-based De Novo 2D Molecule Generation
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Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms
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GP-MoLFormer: A Foundation Model For Molecular Generation
Jerret Ross
Brian M. Belgodere
Samuel C. Hoffman
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31
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Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
Peng Zhou
Jianmin Wang
Chunyan Li
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Longyue Wang
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11
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DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
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Xiwei Cheng
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Yu Bao
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Quanquan Gu
29
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Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin
Xiao-Yan Zhang
Zhiyuan Yang
Fei Liu
Zhenkun Wang
Qingfu Zhang
30
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29 Feb 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan
Xiangxin Zhou
Yuwei Yang
Yu Bao
Jian-wei Peng
Jianzhu Ma
Qiang Liu
Liang Wang
Quanquan Gu
20
66
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26 Feb 2024
Graph Diffusion Policy Optimization
Yijing Liu
Chao Du
Tianyu Pang
Chongxuan Li
Wei Chen
Min-Bin Lin
24
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26 Feb 2024
Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling
Yuwei Yang
Siqi Ouyang
Xueyu Hu
Mingyue Zheng
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Lei Li
32
1
0
22 Feb 2024
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
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4
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16 Feb 2024
Evolution Guided Generative Flow Networks
Zarif Ikram
Ling Pan
Dianbo Liu
81
1
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03 Feb 2024
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
Xiuyuan Hu
Guoqing Liu
Yang Zhao
Hao Zhang
13
19
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21 Dec 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space
Seunghun Lee
Jaewon Chu
S. Kim
Juyeon Ko
Hyunwoo J. Kim
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31
5
0
31 Oct 2023
Learning to Scale Logits for Temperature-Conditional GFlowNets
Minsu Kim
Joohwan Ko
Taeyoung Yun
Dinghuai Zhang
Ling Pan
W. Kim
Jinkyoo Park
Emmanuel Bengio
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AI4CE
25
21
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Local Search GFlowNets
Minsu Kim
Taeyoung Yun
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Yoshua Bengio
Sungsoo Ahn
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24
33
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Drug Discovery with Dynamic Goal-aware Fragments
Seul Lee
Seanie Lee
Kenji Kawaguchi
Sung Ju Hwang
15
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Order-Preserving GFlowNets
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25
9
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Compositional Sculpting of Iterative Generative Processes
Yixuan Wang
Sebastiaan De Peuter
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Vikas K. Garg
Samuel Kaski
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DiffM
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Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo
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19
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Will More Expressive Graph Neural Networks do Better on Generative Tasks?
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Pietro Lio'
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Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting
Deqian Kong
Bo Pang
Tian Han
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DiffM
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Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Zaixin Zhang
Qi Liu
25
34
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22 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
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Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
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Yuxuan Song
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Weiying Ma
Yanyan Lan
DiffM
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Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
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Yun Zhu
Haizhou Shi
Siliang Tang
16
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09 Mar 2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
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Hongwei Wang
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Stochastic Generative Flow Networks
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Dinghuai Zhang
Moksh Jain
Longbo Huang
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Distributional GFlowNets with Quantile Flows
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Ricky T. Q. Chen
Aaron Courville
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Sample-efficient Multi-objective Molecular Optimization with GFlowNets
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Jialun Wu
Chaowen Hu
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Tingjun Hou
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GFlowNets for AI-Driven Scientific Discovery
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Zhuo Chen
Lingbing Guo
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Yansen Su
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