SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation

4 July 2023

Papers citing "SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation"

9 / 9 papers shown

Title
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Hao Luan See-Kiong Ng Chun Kai Ling 46 0 0 29 Apr 2025
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation Wenkang Shan Zhenhua Liu Xinfeng Zhang Zhao Wang Kai Han Shanshe Wang Siwei Ma Wen Gao DiffM 41 81 0 21 Mar 2023
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 38 26 0 01 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 208 1,277 0 02 Sep 2022
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 50 34 0 05 Oct 2021
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models Daniel D. Johnson Jacob Austin Rianne van den Berg Daniel Tarlow DiffM 159 18 0 16 Jul 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 191 392 0 10 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 157 185 0 01 Feb 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 208 1,205 0 12 Feb 2018