Permutation Invariant Graph Generation via Score-Based Generative Modeling

2 March 2020

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

38 / 38 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 42 0 0 02 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Hao Luan See-Kiong Ng Chun Kai Ling 46 0 0 29 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 81 0 0 29 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 71 0 0 16 Mar 2025
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 65 0 0 27 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 76 0 0 06 Feb 2025
Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions Soren Christensen C. Strauch Lukas Trottner DiffM 93 0 0 31 Jan 2025
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration Zuyuan Zhang Vaneet Aggarwal Tian-Shing Lan DiffM 37 0 0 10 Jan 2025
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
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 43 0 0 16 Aug 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 40 3 0 18 Jun 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 42 0 0 11 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 29 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 32 8 0 19 May 2024
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 47 10 0 21 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 32 3 0 11 Jan 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 14 1 0 08 Jan 2024
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 11 1 0 09 Nov 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 22 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 27 38 0 18 Oct 2023
Denoising Diffusion for Sampling SAT Solutions Kārlis Freivalds Sergejs Kozlovics 11 2 0 30 Nov 2022
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 8 156 0 28 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 13 21 0 19 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 22 0 16 Nov 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models Sarthak Mittal Guillaume Lajoie Stefan Bauer Arash Mehrjou DiffM 12 30 0 25 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 38 104 0 11 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 83 51 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 19 11 0 24 Sep 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 25 66 0 04 Apr 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 26 67 0 13 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction Yutong Xie Quanzheng Li DiffM MedIm 19 87 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 14 207 0 05 Feb 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs Songxiang Liu Dan Su Dong Yu DiffM 68 65 0 28 Jan 2022
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 31 397 0 08 Oct 2021
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 26 145 0 13 Jul 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 184 884 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018