Diffusion Models for Graphs Benefit From Discrete State Spaces

4 October 2022

Roger Wattenhofer

Papers citing "Diffusion Models for Graphs Benefit From Discrete State Spaces"

41 / 41 papers shown

Title
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 30 0 0 08 Apr 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs Yoann Boget Alexandros Kalousis DiffM 58 0 0 27 Mar 2025
DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching Wei Huang Hanchen Wang Dong Wen Wenjie Zhang Yuhang Zhang Xuemin Lin 39 0 0 24 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? Xuben Wang Yong-Jin Liu Lexi Pang Siwei Chen Muhan Zhang DiffM 180 0 0 04 Feb 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 30 0 0 03 Jan 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 43 1 0 03 Jan 2025
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks Jinyin Chen Haonan Ma Haibin Zheng DiffM AAML 25 0 0 05 Nov 2024
Towards understanding Diffusion Models (on Graphs) Solveig Klepper DiffM 42 0 0 31 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 38 1 0 08 Aug 2024
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model Yuxing Tian Yiyan Qi Aiwen Jiang Qi Huang Jian Guo DiffM 28 0 0 11 Jul 2024
3D Vessel Graph Generation Using Denoising Diffusion Chinmay Prabhakar Suprosanna Shit Fabio Musio Kaiyuan Yang Tamaz Amiranashvili Johannes C. Paetzold Hongwei Bran Li Bjoern H. Menze DiffM MedIm 52 2 0 08 Jul 2024
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 53 0 0 25 Jun 2024
Advancing Graph Generation through Beta Diffusion Yilin He Xinyang Liu Bo Chen Mingyuan Zhou DiffM 31 0 0 13 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 41 3 0 10 Jun 2024
$Diffusion Models in $\textit{De Novo}$ Drug Design$ Diffusion Models in $\textit{De Novo}$ Drug Design Amira Alakhdar Barnabás Póczos Newell Washburn MedIm 38 13 0 07 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 50 3 0 04 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 43 10 0 19 May 2024
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning Jiying Zhang Zijing Liu Yu Wang Yu Li DiffM 45 1 0 09 May 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 59 26 0 14 Feb 2024
Generative Explanations for Graph Neural Network: Methods and Evaluations Jialin Chen Kenza Amara Junchi Yu Rex Ying 39 3 0 09 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation Yiming Qin Clément Vignac Pascal Frossard 27 12 0 03 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 4 0 30 Oct 2023
EDGE++: Improved Training and Sampling of EDGE Mingyang Wu Xiaohui Chen Liping Liu DiffM 18 2 0 22 Oct 2023
Tertiary Lymphoid Structures Generation through Graph-based Diffusion Manuel Madeira D. Thanou Pascal Frossard MedIm 30 2 0 10 Oct 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies Karolis Martinkus J. Ludwiczak Kyunghyun Cho Weishao Lian J. Lafrance-Vanasse ... A. Rajpal Yongpeng Wu Richard Bonneau Vladimir Gligorijević Andreas Loukas DiffM 34 37 0 28 Jul 2023
Autoregressive Diffusion Model for Graph Generation Lingkai Kong Jiaming Cui Haotian Sun Yuchen Zhuang B. Prakash Chao Zhang DiffM 28 65 0 17 Jul 2023
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation Stratis Limnios Praveen Selvaraj Mihai Cucuringu Carsten Maple Gesine Reinert Andrew Elliott DiffM 24 7 0 29 Jun 2023
Directional diffusion models for graph representation learning Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 20 13 0 22 Jun 2023
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model Can Rong Jingtao Ding Zhicheng Liu Yong Li DiffM 16 8 0 08 Jun 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 36 4 0 30 May 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation Xingang Peng Jiaqi Guan Qiang Liu Jianzhu Ma DiffM 33 43 0 11 May 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen Jiaxing He Xuhong Han Liping Liu DiffM 30 47 0 06 May 2023
Discovering Graph Generation Algorithms Mihai Babiac Karolis Martinkus Roger Wattenhofer 26 1 0 25 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 36 44 0 04 Apr 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 85 159 0 21 Mar 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 50 50 0 17 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng Jianbo Yuan Lei Yu Lingpeng Kong DiffM 38 57 0 11 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications Junfeng Fang Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 32 58 0 06 Feb 2023
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 71 34 0 05 Oct 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 207 394 0 10 Feb 2021