Permutation Invariant Graph Generation via Score-Based Generative Modeling

2 March 2020

Papers citing "Permutation Invariant Graph Generation via Score-Based Generative Modeling"

50 / 64 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 55 0 0 02 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Hao Luan See-Kiong Ng Chun Kai Ling 52 0 0 29 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 185 1 0 29 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
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka Patrick Jaillet 78 0 0 27 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 78 0 0 06 Feb 2025
Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions Soren Christensen C. Strauch Lukas Trottner DiffM 103 0 0 31 Jan 2025
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History En Xu Can Rong Jingtao Ding Yong Li 171 1 0 11 Jan 2025
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration Zuyuan Zhang Vaneet Aggarwal Tian-Shing Lan DiffM 42 0 0 10 Jan 2025
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 37 0 0 04 Nov 2024
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 47 3 0 04 Oct 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 51 0 0 16 Aug 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees Alexia Jolicoeur-Martineau A. Baratin Kisoo Kwon Boris Knyazev Yan Zhang 40 1 0 12 Jul 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 48 3 0 18 Jun 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 44 0 0 11 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 41 3 0 10 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 51 10 0 19 May 2024
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 47 11 0 21 Mar 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding Leman Akoglu DiffM 29 8 0 06 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 42 1 0 08 Jan 2024
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 18 1 0 09 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 5 0 30 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 42 7 0 20 Oct 2023
Scalable Diffusion for Materials Generation Mengjiao Yang KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch E. D. Cubuk 29 39 0 18 Oct 2023
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting Zongsheng Yue Jianyi Wang Chen Change Loy DiffM 32 213 0 23 Jul 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation Han Huang Leilei Sun Bowen Du Weifeng Lv DiffM 32 16 0 21 May 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 33 121 0 16 Feb 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 41 154 0 08 Feb 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 45 40 0 01 Jan 2023
DifFace: Blind Face Restoration with Diffused Error Contraction Zongsheng Yue Chen Change Loy DiffM 37 70 0 13 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 32 42 0 04 Dec 2022
Denoising Diffusion for Sampling SAT Solutions Kārlis Freivalds Sergejs Kozlovics 13 2 0 30 Nov 2022
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 17 160 0 28 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 23 21 0 19 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 23 0 16 Nov 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models Sarthak Mittal Guillaume Lajoie Stefan Bauer Arash Mehrjou DiffM 37 30 0 25 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 105 0 11 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 106 52 0 04 Oct 2022
Face Super-Resolution Using Stochastic Differential Equations Marcelo dos Santos Rayson Laroca Rafael O. Ribeiro João Neves Hugo Proencca David Menotti DiffM 26 12 0 24 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 224 1,311 0 02 Sep 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction Hong Peng Chenbo Jiang Jing Cheng Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 47 17 0 15 Aug 2022
Diffusion Models for Video Prediction and Infilling Tobias Hoppe Arash Mehrjou Stefan Bauer Didrik Nielsen Andrea Dittadi DiffM VGen 30 131 0 15 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo Sung Ju Hwang OODD 30 75 0 06 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 76 80 0 26 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 42 67 0 04 Apr 2022
Gransformer: Transformer-based Graph Generation Ahmad Khajenezhad Seyed Ali Osia Mahmood Karimian H. Beigy 22 2 0 25 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 31 67 0 13 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction Yutong Xie Quanzheng Li DiffM MedIm 32 89 0 05 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 22 211 0 05 Feb 2022