Permutation Equivariant Generative Adversarial Networks for Graphs

7 December 2021

Papers citing "Permutation Equivariant Generative Adversarial Networks for Graphs"

20 / 20 papers shown

Title
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 74 272 0 02 Mar 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 147 31 0 14 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 179 438 0 26 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 148 340 0 02 Oct 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 86 301 0 06 Jul 2019
MolecularRNN: Generating realistic molecular graphs with optimized properties Mariya Popova Mykhailo Shvets Junier Oliva Olexandr Isayev GNN 75 167 0 31 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 111 193 0 28 May 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 128 167 0 25 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 194 1,645 0 04 Oct 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 125 210 0 07 Sep 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 196 662 0 08 Mar 2018
Syntax-Directed Variational Autoencoder for Structured Data H. Dai Yingtao Tian Bo Dai Steven Skiena Le Song 102 329 0 24 Feb 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 120 853 0 24 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 120 853 0 09 Feb 2018
Molecular De Novo Design through Deep Reinforcement Learning Marcus Olivecrona T. Blaschke Ola Engkvist Hongming Chen BDL 142 1,017 0 25 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,496 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 427 2,480 0 10 Mar 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 85 844 0 06 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 545 1,412 0 01 Dec 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 176 2,939 0 07 Oct 2016