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2001.09382
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GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
26 January 2020
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
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Papers citing
"GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation"
50 / 251 papers shown
Title
Generation of 3D Molecules in Pockets via Language Model
Wei Feng
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Han Wang
...
Huting Wang
Jielong Zhou
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Bo Huang
Wenbiao Zhou
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17 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Yiheng Zhu
Zhenqiu Ouyang
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Jialun Wu
YiXuan Wu
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
AI4CE
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15 May 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Xingang Peng
Jiaqi Guan
Qiang Liu
Jianzhu Ma
DiffM
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11 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu
Alexander Powers
R. Dror
Stefano Ermon
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AI4CE
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02 May 2023
Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes
Jianshen Zhu
Naveed Ahmed Azam
Kazuya Haraguchi
Liang Zhao
H. Nagamochi
Tatsuya Akutsu
17
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27 Apr 2023
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
Zaixin Zhang
Qi Liu
Cheekong Lee
Chang-Yu Hsieh
Enhong Chen
15
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12 Apr 2023
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing
Wei Lu
Nicolas A. Lee
Markus J. Buehler
AI4CE
11
1
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11 Apr 2023
The power of motifs as inductive bias for learning molecular distributions
Johanna Sommer
Leon Hetzel
David Ludke
Fabian J. Theis
Stephan Günnemann
25
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04 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
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Maryam Qamar
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Chenshuang Zhang
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DiffM
MedIm
31
44
0
04 Apr 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan
Wesley Wei Qian
Xingang Peng
Yufeng Su
Jian-wei Peng
Jianzhu Ma
DiffM
15
162
0
06 Mar 2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Wenhao Hu
Yingying Liu
Xuanyu Chen
Wenhao Chai
Hangyue Chen
Hongwei Wang
Gaoang Wang
53
10
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01 Mar 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow
Fangce Sun
Zhihao Zhan
Hongyu Guo
Ming Zhang
Jian Tang
16
6
0
23 Feb 2023
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows
Chao Qi
Jianqin Yin
Jinghang Xu
Pengxiang Ding
3DPC
31
4
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21 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
14
8
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16 Feb 2023
3D Molecular Generation via Virtual Dynamics
Shuqi Lu
Lin Yao
X. Chen
Hang Zheng
Di He
Guolin Ke
DiffM
24
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12 Feb 2023
Graph Generation with Diffusion Mixture
Jaehyeong Jo
Dongki Kim
Sung Ju Hwang
DiffM
24
19
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07 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
Jingyao Li
Pengguang Chen
Shaozuo Yu
Zexin He
Shu Liu
Jiaya Jia
OODD
12
42
0
06 Feb 2023
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang
Ningyu Zhang
Zhuo Chen
Lingbing Guo
Xiaohui Fan
Huajun Chen
28
11
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26 Jan 2023
Improving Graph Generation by Restricting Graph Bandwidth
N. Diamant
Alex Tseng
Kangway V Chuang
Tommaso Biancalani
Gabriele Scalia
22
7
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25 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference
Jianwen Xie
Y. Zhu
Yifei Xu
Dingcheng Li
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BDL
DRL
12
7
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23 Jan 2023
Domain-agnostic and Multi-level Evaluation of Generative Models
G. Tadesse
Jannis Born
C. Cintas
William Ogallo
Dmitry Zubarev
Matteo Manica
Komminist Weldemariam
ELM
19
1
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20 Jan 2023
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Jia Wu
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio'
GNN
AI4CE
30
10
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14 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Han Huang
Leilei Sun
Bowen Du
Weifeng Lv
29
40
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01 Jan 2023
Molecular Graph Generation by Decomposition and Reassembling
Masatsugu Yamada
M. Sugiyama
8
4
0
11 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
Han Huang
Leilei Sun
Bowen Du
Yanjie Fu
Weifeng Lv
DiffM
24
42
0
04 Dec 2022
GrannGAN: Graph annotation generative adversarial networks
Yoann Boget
Magda Gregorova
Alexandros Kalousis
GAN
10
0
0
01 Dec 2022
Reinforced Genetic Algorithm for Structure-based Drug Design
Tianfan Fu
Wenhao Gao
Connor W. Coley
Jimeng Sun
20
51
0
28 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
K. Nguyen
Hieu Nong
T. Nguyen
Nhat Ho
Khuong N. Nguyen
Vinh Phu Nguyen
16
61
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28 Nov 2022
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Danqing Wang
Zeyu Wen
Fei Ye
Lei Li
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MedIm
15
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28 Nov 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin
Yufei Huang
Odin Zhang
Siqi Ma
Meng Liu
X. Li
Lirong Wu
Shuiwang Ji
Tingjun Hou
Stan Z. Li
DiffM
16
60
0
21 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
15
21
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19 Nov 2022
Fast Graph Generation via Spectral Diffusion
Tianze Luo
Zhanfeng Mo
Sinno Jialin Pan
DiffM
13
22
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16 Nov 2022
Toward Human-AI Co-creation to Accelerate Material Discovery
Dmitry Zubarev
C. Mendes
E. V. Brazil
Renato F. G. Cerqueira
Kristin Schmidt
V. Segura
J. Ferreira
Daniel P. Sanders
13
0
0
05 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science
Kai Zhang
Shan-Yu Liu
M. Xiong
21
0
0
30 Oct 2022
Modular Flows: Differential Molecular Generation
Yogesh Verma
Samuel Kaski
Markus Heinonen
Vikas K. Garg
19
14
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12 Oct 2022
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
Meng Liu
Haoran Liu
Shuiwang Ji
17
5
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How Image Generation Helps Visible-to-Infrared Person Re-Identification?
Honghu Pan
Yongyong Chen
Yunqing He
Xin Li
Zhenyu He
8
2
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04 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control
Shiyu Wang
Xiaojie Guo
Xuanyang Lin
Bo Pan
Yuanqi Du
...
S. Alkhalifa
K. Minbiole
Bill Wuest
Amarda Shehu
Liang Zhao
AI4CE
42
14
0
01 Oct 2022
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction
Jiahan Liu
Chao-chao Yan
Yang Yu
Chan Lu
Junzhou Huang
Le Ou-Yang
P. Zhao
38
13
0
27 Sep 2022
SCGG: A Deep Structure-Conditioned Graph Generative Model
Faezeh Faez
Negin Hashemi Dijujin
M. Baghshah
Hamid R. Rabiee
GNN
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10
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20 Sep 2022
Molecular Design Based on Integer Programming and Quadratic Descriptors in a Two-layered Model
Jianshen Zhu
Naveed Ahmed Azam
Shengjuan Cao
Ryota Ido
Kazuya Haraguchi
Liang Zhao
H. Nagamochi
Tatsuya Akutsu
8
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0
13 Sep 2022
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNN
AI4CE
41
20
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12 Sep 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
42
107
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12 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
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Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
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Large-Scale Auto-Regressive Modeling Of Street Networks
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Tom Kelly
W. Para
Peter Wonka
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String-based Molecule Generation via Multi-decoder VAE
Kisoo Kwon
Kuhwan Jung
Jung-Geun Park
Hwidong Na
Jinwoo Shin
DRL
27
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Improving Small Molecule Generation using Mutual Information Machine
Daniel A. Reidenbach
M. Livne
Rajesh Ilango
M. Gill
Johnny Israeli
19
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Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction
Atia Hamidizadeh
Tony Shen
Martin Ester
DRL
22
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Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
29
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Graph Generative Model for Benchmarking Graph Neural Networks
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Yue Wu
John Palowitch
Bryan Perozzi
Ruslan Salakhutdinov
17
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