Building LEGO Using Deep Generative Models of Graphs

21 December 2020

Papers citing "Building LEGO Using Deep Generative Models of Graphs"

10 / 10 papers shown

Title
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 97 861 0 15 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 569 10,555 0 12 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
Syntax-Directed Variational Autoencoder for Structured Data H. Dai Yingtao Tian Bo Dai Steven Skiena Le Song 102 328 0 24 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 352 1,367 0 12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 114 849 0 09 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 141 1,491 0 04 Jan 2018
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 480 9,048 0 10 Jun 2016
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 114 3,006 0 19 Jul 2012
Kronecker Graphs: An Approach to Modeling Networks J. Leskovec Deepayan Chakrabarti Jon M. Kleinberg Christos Faloutsos Zoubin Ghahramani 96 1,073 0 29 Dec 2008