Fast Graph Generation via Spectral Diffusion

16 November 2022

Papers citing "Fast Graph Generation via Spectral Diffusion"

32 / 32 papers shown

Title
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Haoyang Li Lijun Yang Wen Yao Yue Deng DiffM 179 0 0 12 May 2025
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Kehan Guo Yili Shen Gisela Abigail Gonzalez-Montiel Yue Huang Yujun Zhou ... Zhichun Guo Prayel Das Nitesh Chawla Olaf Wiest Wei Wei 151 2 0 14 Feb 2025
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 79 1 0 17 Nov 2024
Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li Cai Zhou Xiyuan Wang Xingang Peng Muhan Zhang 57 2 0 04 Oct 2024
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 194 437 0 04 Oct 2022
Protein structure generation via folding diffusion Kevin E. Wu Kevin Kaichuang Yang Rianne van den Berg James Zou Alex X. Lu Ava P. Amini DiffM 72 200 0 30 Sep 2022
Wavelet Score-Based Generative Modeling Florentin Guth Simon Coste Valentin De Bortoli S. Mallat DiffM 86 55 0 09 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 150 3,858 0 26 Jul 2022
Subspace Diffusion Generative Models Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 58 78 0 03 May 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 63 223 0 05 Feb 2022
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 68 43 0 02 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 155 1,111 0 01 Jul 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 289 3,648 0 18 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 214 199 0 01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 64 88 0 31 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 294 6,409 0 26 Nov 2020
Factorizable Graph Convolutional Networks Yiding Yang Zunlei Feng Xiuming Zhang Xinchao Wang GNN 70 146 0 12 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 214 819 0 16 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 82 148 0 13 Jul 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 114 292 0 17 Jun 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 66 269 0 02 Mar 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 158 438 0 26 Jan 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 70 164 0 30 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 54 118 0 27 May 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 95 858 0 15 Apr 2019
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 116 209 0 07 Sep 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 153 925 0 30 May 2018
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery Kristina Preuer Philipp Renz Thomas Unterthiner Sepp Hochreiter Günter Klambauer MedIm 93 337 0 26 Mar 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 170 661 0 08 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 108 844 0 24 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 103 848 0 09 Feb 2018