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Efficient Graph Generation with Graph Recurrent Attention Networks

2 October 2019

Shenlong Wang

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Papers citing "Efficient Graph Generation with Graph Recurrent Attention Networks"

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Title
Generating Directed Graphs with Dual Attention and Asymmetric Encoding Alba Carballo-Castro Manuel Madeira Yiming Qin D. Thanou Pascal Frossard 27 0 0 19 Jun 2025
Bures-Wasserstein Flow Matching for Graph Generation Keyue Jiang Jiahao Cui Xiaowen Dong Laura Toni 56 0 0 16 Jun 2025
A Deep Generative Model for the Simulation of Discrete Karst Networks Dany Lauzon Julien Straubhaar Philippe Renard 72 0 0 11 Jun 2025
GGBall: Graph Generative Model on Poincaré Ball Tianci Bu Chuanrui Wang Hao Ma Haoren Zheng Xin Lu Tailin Wu 41 0 0 08 Jun 2025
Symmetry-Aware GFlowNets Hohyun Kim Seunggeun Lee Min-hwan Oh 59 0 0 03 Jun 2025
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models Valter Hudovernik Minkai Xu Juntong Shi Lovro Šubelj Stefano Ermon Erik Štrumbelj J. Leskovec DiffM 48 0 0 31 May 2025
Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey Mengran Li Pengyu Zhang Wenbin Xing Yijia Zheng Klim Zaporojets ... Jia Hu Xiaolei Ma Zhiyuan Liu Paul Groth Marcel Worring AI4CE 153 0 0 24 May 2025
A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules Manuel Ruiz-Botella Marta Sales-Pardo Roger Guimerà 36 0 0 22 May 2025
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 227 0 0 08 Apr 2025
Diffusion-Free Graph Generation with Next-Scale Prediction Samuel Belkadi Steve Hong Marian Chen M. Cretu Charles Harris Pietro Liò DiffM 82 0 0 30 Mar 2025
Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation Yoann Boget DiffM 185 0 0 27 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 155 0 0 15 Mar 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling Markus Krimmel Jenna Wiens Karsten Borgwardt Dexiong Chen 158 0 0 04 Feb 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 77 3 0 04 Jan 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 153 2 0 02 Jan 2025
RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting Yilei Jiang Yingshui Tan Xiangyu Yue KELM LRM 148 2 0 25 Dec 2024
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions Mai Elkady Thu Bui Bruno Ribeiro David I. Inouye 124 0 0 20 Nov 2024
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 95 2 0 04 Nov 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction Shijin Duan Ruyi Ding Jiaxing He A. A. Ding Yunsi Fei Xiaolin Xu 56 0 0 04 Oct 2024
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method Abhijeet Sahu Truc Nguyen Kejun Chen Xiangyu Zhang Malik Hassanaly 106 1 0 06 Sep 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models Samuel Cognolato A. Sperduti Luciano Serafini DiffM 73 0 0 23 Aug 2024
Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions K. Balog John Palowitch Barbara Ikica Filip Radlinski Hamidreza Alvari Mehdi Manshadi SyDa 76 2 0 15 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 96 1 0 08 Aug 2024
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs Sumeyye Bas Kıymet Kaya Resul Tugay Ş. Öğüdücü 45 0 0 20 Jul 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 89 0 0 25 Jun 2024
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 101 3 0 25 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 78 6 0 10 Jun 2024
Variational Flow Matching for Graph Generation Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan-Willem van de Meent 106 18 0 07 Jun 2024
Score-based Generative Models with Adaptive Momentum Ziqing Wen Xiaoge Deng Ping Luo Tao Sun Dongsheng Li DiffM 64 0 0 22 May 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 128 24 0 19 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 124 8 0 09 Apr 2024
OpenGraph: Towards Open Graph Foundation Models Lianghao Xia Ben Kao Chao Huang AI4CE 118 41 0 02 Mar 2024
GraphRCG: Self-Conditioned Graph Generation Song Wang Zhen Tan Xinyu Zhao Tianlong Chen Huan Liu Wenlin Yao 82 0 0 02 Mar 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min Lin 82 7 0 26 Feb 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application Jingtao Ding Chang Liu Y. Zheng Yunke Zhang Zihan Yu ... Hongyi Chen J. Piao Huandong Wang Jiazhen Liu Yong Li AI4CE 85 12 0 23 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding Leman Akoglu DiffM 100 10 0 06 Feb 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 79 1 0 04 Feb 2024
Unsupervised Learning of Graph from Recipes Aissatou Diallo Antonis Bikakis Luke Dickens Anthony Hunter Rob Miller SSL 65 0 0 22 Jan 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation Nianzu Yang Kaipeng Zeng Haotian Lu Yexin Wu Zexin Yuan Danni Chen Shengdian Jiang Jiaxiang Wu Yimin Wang Junchi Yan 35 1 0 17 Jan 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data Michalis Pistos Gang Li Weili Lin Dinggang Shen I. Rekik 81 0 0 01 Jan 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 72 16 0 15 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local Expansion Andreas Bergmeister Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 96 16 0 14 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 111 9 0 13 Dec 2023
A Simple and Scalable Representation for Graph Generation Yunhui Jang Seul Lee SungSoo Ahn 83 7 0 04 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks Puja Trivedi Ryan Rossi David Arbour Tong Yu Franck Dernoncourt Sungchul Kim Nedim Lipka Namyong Park Nesreen K. Ahmed Danai Koutra DiffM 92 0 0 29 Nov 2023
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Rieck 183 4 0 27 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation Yiming Qin Clément Vignac Pascal Frossard 76 14 0 03 Nov 2023
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model Jui-Yi Tsai Ya-Wen Teng Ho Chiok Yew De-Nian Yang Lydia Y. Chen DiffM 76 2 0 03 Nov 2023
EDGE++: Improved Training and Sampling of EDGE Mingyang Wu Xiaohui Chen Liping Liu DiffM 62 2 0 22 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 94 10 0 20 Oct 2023