Autoregressive Diffusion Model for Graph Generation

Autoregressive Diffusion Model for Graph Generation

17 July 2023

Lingkai Kong

Papers citing "Autoregressive Diffusion Model for Graph Generation"

14 / 14 papers shown

Title
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach Jiawen Kang Jiana Liao Runquan Gao Jinbo Wen Huawei Huang Maomao Zhang Changyan Yi Tao Zhang Dusit Niyato Zibin Zheng 111 0 0 26 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 25 0 0 03 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 30 0 0 04 Nov 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 48 0 0 09 Oct 2024
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing Kaizhi Zheng Xiaotong Chen Xuehai He Jing Gu Linjie Li Zhengyuan Yang Kevin Qinghong Lin Jianfeng Wang Lijuan Wang Xin Eric Wang KELM DiffM 35 0 0 03 Oct 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
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 22 7 0 20 Oct 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 19 3 0 29 Jan 2023
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 83 51 0 04 Oct 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 171 187 0 01 Feb 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 189 885 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