A Survey on Deep Graph Generation: Methods and Applications

13 March 2022

Papers citing "A Survey on Deep Graph Generation: Methods and Applications"

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Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 114 1 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 Jin AI4TS AI4CE 337 1 0 29 Mar 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 172 19 0 28 Jan 2025
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 51 1 0 08 Aug 2024
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo Sung Ju Hwang OODD 62 78 0 06 Jun 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 68 594 0 31 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 89 30,021 0 01 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 59 21 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 80 19 0 28 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 42 41 0 16 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 32 219 0 05 Feb 2022
On Evaluation Metrics for Graph Generative Models Rylee Thompson Boris Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor EGVM 53 41 0 24 Jan 2022
Neural Program Generation Modulo Static Analysis Rohan Mukherjee Yeming Wen Dipak Chaudhari Thomas W. Reps Swarat Chaudhuri C. Jermaine 34 24 0 26 Oct 2021
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design Wengong Jin Jeremy Wohlwend Regina Barzilay Tommi Jaakkola 31 138 0 09 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 79 34 0 05 Oct 2021
Differentiable Scaffolding Tree for Molecular Optimization Tianfan Fu Wenhao Gao Cao Xiao Jacob Yasonik Connor W. Coley Jimeng Sun 57 78 0 22 Sep 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation Marco Podda D. Bacciu BDL 35 10 0 18 Jul 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 132 5,328 0 07 Jul 2021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions Leslie O’Bray Max Horn Bastian Rieck Karsten Borgwardt 34 40 0 02 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 99 1,196 0 30 May 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery Yutong Xie Chence Shi Hao Zhou Yuwei Yang Weinan Zhang Yong Yu Lei Li 55 142 0 18 Mar 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 34 100 0 04 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 222 733 0 02 Mar 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 198 195 0 01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 32 88 0 31 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 68 57 0 31 Dec 2020
Disentangled Dynamic Graph Deep Generation Wenbin Zhang Liming Zhang Dieter Pfoser Liang Zhao 24 37 0 14 Oct 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 29 52 0 09 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 55 1,429 0 21 Sep 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 68 147 0 13 Jul 2020
Guiding Deep Molecular Optimization with Genetic Exploration SungSoo Ahn Junsup Kim Hankook Lee Jinwoo Shin 48 73 0 04 Jul 2020
Scalable Deep Generative Modeling for Sparse Graphs H. Dai Azade Nazi Yujia Li Bo Dai Dale Schuurmans BDL 27 78 0 28 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 223 17,550 0 19 Jun 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 93 289 0 17 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 82 46 0 09 Jun 2020
SHADOWCAST: Controllable Graph Generation W. Tann E. Chang Bryan Hooi 27 2 0 06 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler Leon Klein Frank Noé DRL 65 265 0 03 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 44 698 0 20 May 2020
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets Shanchao Yang Jing Liu K. Wu Mingming Li GAN AI4CE 61 3 0 03 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 38 266 0 02 Mar 2020
A Deep Generative Model for Fragment-Based Molecule Generation Marco Podda D. Bacciu Alessio Micheli VLM BDL 20 51 0 28 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 124 10,591 0 17 Feb 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 87 31 0 14 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 44 283 0 08 Feb 2020
Edge-based sequential graph generation with recurrent neural networks D. Bacciu Alessio Micheli Marco Podda GNN 24 35 0 31 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 131 434 0 26 Jan 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 36 91 0 22 Jan 2020
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy Tianfan Fu Cao Xiao Jimeng Sun 90 65 0 23 Nov 2019
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction Anuththari Gamage Eli Chien Jianhao Peng O. Milenkovic GAN 32 15 0 08 Nov 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 103 329 0 02 Oct 2019