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. 2001.09382
  4. Cited By
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation

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
ArXivPDFHTML

Papers citing "GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation"

50 / 251 papers shown
Title
Heterophily-informed Message Passing
Heterophily-informed Message Passing
Haishan Wang
Arno Solin
Vikas K. Garg
27
0
0
28 Apr 2025
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
Peizhi Niu
Yu-Hsiang Wang
Vishal Rana
Chetan Rupakheti
Abhishek Pandey
O. Milenkovic
26
0
0
08 Apr 2025
Make Autoregressive Great Again: Diffusion-Free Graph Generation with Next-Scale Prediction
Make Autoregressive Great Again: Diffusion-Free Graph Generation with Next-Scale Prediction
Samuel Belkadi
Steve Hong
Marian Chen
DiffM
45
0
0
30 Mar 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Yoann Boget
Alexandros Kalousis
DiffM
56
0
0
27 Mar 2025
Graphical Transformation Models
Graphical Transformation Models
Matthias Herp
Johannes Brachem
Michael Altenbuchinger
Thomas Kneib
36
0
0
22 Mar 2025
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling
Yanchen Luo
Zhiyuan Liu
Yi Zhao
Sihang Li
Kenji Kawaguchi
Tat-Seng Chua
X. Wang
MedIm
59
0
0
19 Mar 2025
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
Chen Li
Huidong Tang
Ye Zhu
Yoshihiro Yamanishi
AI4CE
38
0
0
17 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
78
0
0
15 Mar 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey
G. Subbaraj
Artem Cherkasov
Martin Ester
Emmanuel Bengio
AI4CE
66
1
0
08 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
63
0
0
08 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu
Ziqi Gao
Tingyang Xu
Yang Liu
Yatao Bian
Yu Rong
Junzhou Huang
Jia Li
68
0
0
03 Mar 2025
Auto-encoding Molecules: Graph-Matching Capabilities Matter
Magnus Cunow
Gerrit Großmann
GNN
32
0
0
01 Mar 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Junfeng Fang
Yaorui Shi
X. Wang
Kenji Kawaguchi
Tat-Seng Chua
100
3
0
18 Feb 2025
Towards Efficient Molecular Property Optimization with Graph Energy Based Models
Towards Efficient Molecular Property Optimization with Graph Energy Based Models
Luca Miglior
Lorenzo Simone
Marco Podda
Davide Bacciu
AI4CE
64
0
0
17 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang
Tolga Birdal
DiffM
76
0
0
06 Feb 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
Ruichu Cai
Yuxuan Zhu
Xuexin Chen
Yuan Fang
Min-man Wu
Jie Qiao
Z. Hao
46
7
0
31 Dec 2024
MING: A Functional Approach to Learning Molecular Generative Models
MING: A Functional Approach to Learning Molecular Generative Models
Van Khoa Nguyen
Maciej Falkiewicz
Giangiacomo Mercatali
Alexandros Kalousis
DiffM
AI4CE
21
0
0
16 Oct 2024
CRUcialG: Reconstruct Integrated Attack Scenario Graphs by Cyber Threat
  Intelligence Reports
CRUcialG: Reconstruct Integrated Attack Scenario Graphs by Cyber Threat Intelligence Reports
Wenrui Cheng
Tiantian Zhu
Tieming Chen
Qixuan Yuan
J. Ying
Hongmei Li
Chunlin Xiong
Mingda Li
Mingqi Lv
Yan Chen
20
1
0
15 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology
  Generation
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
Félix Marcoccia
C. Adjih
P. Mühlethaler
DiffM
16
0
0
09 Oct 2024
Text-guided Diffusion Model for 3D Molecule Generation
Text-guided Diffusion Model for 3D Molecule Generation
Yanchen Luo
Junfeng Fang
Sihang Li
Zhiyuan Liu
Jiancan Wu
An Zhang
Wenjie Du
Xiang Wang
29
6
0
04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren
Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
33
3
0
04 Oct 2024
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with
  Fine-Tuned Large Language Models
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
Zhaoning Yu
Xiangyang Xu
Hongyang Gao
28
2
0
03 Oct 2024
When Molecular GAN Meets Byte-Pair Encoding
When Molecular GAN Meets Byte-Pair Encoding
Huidong Tang
Chen Li
Yasuhiko Morimoto
19
0
0
29 Sep 2024
Mitigating Exposure Bias in Score-Based Generation of Molecular
  Conformations
Mitigating Exposure Bias in Score-Based Generation of Molecular Conformations
Sijia Wang
Chen Wang
Zhenhao Zhao
Jiqiang Zhang
Weiran Cai
21
0
0
21 Sep 2024
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
Dannong Wang
Jintai Chen
Zhiding Liang
Tianfan Fu
Xiao-Yang Liu
18
0
0
13 Sep 2024
On the design space between molecular mechanics and machine learning
  force fields
On the design space between molecular mechanics and machine learning force fields
Yuanqing Wang
Kenichiro Takaba
Michael S. Chen
Marcus Wieder
Yuzhi Xu
...
Kyunghyun Cho
Joe G. Greener
Peter K. Eastman
Stefano Martiniani
M. Tuckerman
AI4CE
37
4
0
03 Sep 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative
  Models
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models
Samuel Cognolato
A. Sperduti
Luciano Serafini
DiffM
31
0
0
23 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
Milan Papež
Martin Rektoris
Václav Šmídl
Tomáš Pevný
TPM
47
0
0
18 Aug 2024
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
Rafał Karczewski
Samuel Kaski
Markus Heinonen
Vikas K. Garg
33
0
0
12 Aug 2024
Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for
  Molecular Inference
Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for Molecular Inference
Bowen Song
Jianshen Zhu
Naveed Ahmed Azam
Kazuya Haraguchi
Liang Zhao
Tatsuya Akutsu
19
0
0
09 Aug 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using
  Spanning Trees
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
Alexia Jolicoeur-Martineau
A. Baratin
Kisoo Kwon
Boris Knyazev
Yan Zhang
36
1
0
12 Jul 2024
Leveraging Latent Evolutionary Optimization for Targeted Molecule
  Generation
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation
Siddartha Reddy N
Sai Prakash MV
V. Varun
Vishal Vaddina
Saisubramaniam Gopalakrishnan
51
0
0
02 Jul 2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy
  Optimization
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
Siyi Gu
Minkai Xu
Alexander Powers
Weili Nie
Tomas Geffner
Karsten Kreis
J. Leskovec
Arash Vahdat
Stefano Ermon
43
7
0
01 Jul 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
37
11
0
23 Jun 2024
AntibodyFlow: Normalizing Flow Model for Designing Antibody
  Complementarity-Determining Regions
AntibodyFlow: Normalizing Flow Model for Designing Antibody Complementarity-Determining Regions
Bohao Xu
Y Samuel Wang
Wenyu Chen
Shimin Shan
OOD
16
0
0
19 Jun 2024
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean
  Space
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata
Nicholas Gao
Johanna Sommer
Tom Wollschlager
Stephan Günnemann
DiffM
36
1
0
15 Jun 2024
Advancing Graph Generation through Beta Diffusion
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
24
0
0
13 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model
Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin
Fragkiskos D. Malliaros
Christopher Morris
29
3
0
10 Jun 2024
Variational Flow Matching for Graph Generation
Variational Flow Matching for Graph Generation
Floor Eijkelboom
Grigory Bartosh
C. A. Naesseth
Max Welling
Jan Willem van de Meent
31
10
0
07 Jun 2024
Diffusion Models in $\textit{De Novo}$ Drug Design
Diffusion Models in De Novo\textit{De Novo}De Novo Drug Design
Amira Alakhdar
Barnabás Póczos
Newell Washburn
MedIm
34
13
0
07 Jun 2024
Improving global awareness of linkset predictions using Cross-Attentive
  Modulation tokens
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens
Félix Marcoccia
C. Adjih
P. Mühlethaler
36
0
0
28 May 2024
Saturn: Sample-efficient Generative Molecular Design using Memory
  Manipulation
Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
Jeff Guo
Philippe Schwaller
Mamba
42
7
0
27 May 2024
Particle physics DL-simulation with control over generated data
  properties
Particle physics DL-simulation with control over generated data properties
Karol Rogoziñski
Jan Dubiñski
Przemyslaw Rokita
Kamil Deja
AI4CE
21
2
0
22 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
47
12
0
20 May 2024
A Review on Fragment-based De Novo 2D Molecule Generation
A Review on Fragment-based De Novo 2D Molecule Generation
Sergei Voloboev
VLM
29
1
0
08 May 2024
Generated Contents Enrichment
Generated Contents Enrichment
Mahdi Naseri
Jiayan Qiu
Zhou Wang
29
0
0
06 May 2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim
Jaehyun Nam
Sihyun Yu
Younghoon Shin
Jinwoo Shin
23
2
0
05 May 2024
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
M. Cretu
Charles Harris
Julien Roy
Emmanuel Bengio
Pietro Lió
Bruno Correia
Julien Roy
Emmanuel Bengio
Pietro Liò
32
1
0
02 May 2024
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule
  Generation
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
Ian Dunn
D. Koes
BDL
DiffM
44
11
0
30 Apr 2024
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug
  Design
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design
Xinze Li
Penglei Wang
Tianfan Fu
Wenhao Gao
Chengtao Li
Leilei Shi
Junhong Liu
33
2
0
02 Apr 2024
123456
Next