GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph
Generation

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation

4 December 2022

Papers citing "GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation"

10 / 10 papers shown

Title
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 69 0 0 29 Mar 2025
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects Jiayi Su Youhe Feng Zheng Li Jinhua Song Yangfan He Botao Ren Botian Xu AI4CE 86 2 0 10 Dec 2024
3D Vessel Graph Generation Using Denoising Diffusion Chinmay Prabhakar Suprosanna Shit Fabio Musio Kaiyuan Yang Tamaz Amiranashvili Johannes C. Paetzold Hongwei Bran Li Bjoern H. Menze DiffM MedIm 47 2 0 08 Jul 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 27 8 0 19 May 2024
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 32 3 0 20 Jun 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 35 49 0 17 Feb 2023
On Evaluation Metrics for Graph Generative Models Rylee Thompson Boris Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor EGVM 35 41 0 24 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 192 304 0 15 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,095 0 27 Apr 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 168 185 0 01 Feb 2021