Pard: Permutation-Invariant Autoregressive Diffusion for Graph
Generation

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation

6 February 2024

Xueying Ding

Papers citing "Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation"

8 / 8 papers shown

Title
Make Autoregressive Great Again: Diffusion-Free Graph Generation with Next-Scale Prediction Samuel Belkadi Steve Hong Marian Chen DiffM 50 0 0 30 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Marianne Arriola Aaron Gokaslan Justin T Chiu Zhihan Yang Zhixuan Qi Jiaqi Han S. Sahoo Volodymyr Kuleshov DiffM 72 5 0 12 Mar 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling Markus Krimmel Jenna Wiens Karsten M. Borgwardt Dexiong Chen 91 0 0 04 Feb 2025
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 52 0 0 09 Oct 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 41 3 0 10 Jun 2024
Diffusion-based Graph Generative Methods Hongyang Chen Can Xu Lingyu Zheng Qiang Zhang Xuemin Lin DiffM MedIm 29 0 0 28 Jan 2024
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 207 394 0 10 Feb 2021
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 194 633 0 29 Nov 2018