GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

20 October 2023

Papers citing "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

9 / 9 papers shown

Title
Backdoor Attacks on Discrete Graph Diffusion Models Jiawen Wang Samin Karim Yuan Hong Binghui Wang DiffM 59 0 0 08 Mar 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
Diffusion Twigs with Loop Guidance for Conditional Graph Generation Giangiacomo Mercatali Yogesh Verma André Freitas Vikas K. Garg 24 3 0 31 Oct 2024
FairWire: Fair Graph Generation O. D. Kose Yanning Shen 21 3 0 06 Feb 2024
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models Kay Liu Hengrui Zhang Ziqing Hu Fangxin Wang Philip S. Yu 19 3 0 29 Dec 2023
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 183 68 0 28 Feb 2022
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 226 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 184 878 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 211 1,329 0 12 Feb 2018