Efficient and Scalable Graph Generation through Iterative Local Expansion

14 December 2023

Roger Wattenhofer

Papers citing "Efficient and Scalable Graph Generation through Iterative Local Expansion"

27 / 27 papers shown

Title
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 66 3 0 20 Jun 2023
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding Chenpeng Du Yiwei Guo Feiyu Shen Zhijun Liu Zheng Liang Xie Chen Shuai Wang Hui Zhang K. Yu DiffM 50 44 0 13 Jun 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen Jiaxing He Xuhong Han Liping Liu DiffM 59 52 0 06 May 2023
MusicLM: Generating Music From Text A. Agostinelli Timo I. Denk Zalan Borsos Jesse Engel Mauro Verzetti ... Adam Roberts Marco Tagliasacchi Matthew Sharifi Neil Zeghidour Christian Frank MGen 109 439 0 26 Jan 2023
Automating Rigid Origami Design Jeremia Geiger Karolis Martinkus Oliver Richter Roger Wattenhofer 38 1 0 20 Nov 2022
AudioLM: a Language Modeling Approach to Audio Generation Zalan Borsos Raphaël Marinier Damien Vincent Eugene Kharitonov Olivier Pietquin ... Dominik Roblek O. Teboul David Grangier Marco Tagliasacchi Neil Zeghidour AuLLM 126 606 0 07 Sep 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 74 303 0 08 Aug 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 160 1,952 0 01 Jun 2022
Improved Vector Quantized Diffusion Models Zhicong Tang Shuyang Gu Jianmin Bao Dong Chen Fang Wen DiffM 208 63 0 31 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 62 67 0 04 Apr 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
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 124 924 0 07 Jul 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation Maksim Kuznetsov Daniil Polykovskiy 52 43 0 03 Feb 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 98 747 0 17 Dec 2020
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
Scalable Deep Generative Modeling for Sparse Graphs H. Dai Azade Nazi Yujia Li Bo Dai Dale Schuurmans BDL 58 78 0 28 Jun 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 61 287 0 08 Feb 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 45 92 0 22 Jan 2020
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 123 332 0 02 Oct 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 70 164 0 30 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 108 1,398 0 29 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 210 4,334 0 06 Mar 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 224 7,623 0 01 Oct 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 95 302 0 28 Mar 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 333 1,367 0 12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 103 849 0 09 Feb 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 263 6,887 0 12 Mar 2015