Scalable Deep Generative Modeling for Sparse Graphs

Scalable Deep Generative Modeling for Sparse Graphs

28 June 2020

Dale Schuurmans

Papers citing "Scalable Deep Generative Modeling for Sparse Graphs"

10 / 10 papers shown

Title
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 32 5 0 09 Feb 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Alexander Rieck 22 3 0 27 Nov 2023
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 15 21 0 19 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 25 10 0 30 Oct 2022
GEMS: Scene Expansion using Generative Models of Graphs Rishi G. Agarwal Tirupati Saketh Chandra Vaidehi Patil Aniruddha Mahapatra K. Kulkarni Vishwa Vinay 28 4 0 08 Jul 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 25 66 0 04 Apr 2022
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series J. Clarkson Mihai Cucuringu Andrew Elliott G. Reinert AI4TS 13 2 0 28 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 26 67 0 13 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 14 207 0 05 Feb 2022
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018