GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation

18 July 2021

Papers citing "GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation"

19 / 19 papers shown

Title
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 112 150 0 13 Jul 2020
A Deep Generative Model for Fragment-Based Molecule Generation Marco Podda D. Bacciu Alessio Micheli VLM BDL 63 52 0 28 Feb 2020
Edge-based sequential graph generation with recurrent neural networks D. Bacciu Alessio Micheli Marco Podda GNN 64 36 0 31 Jan 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 51 93 0 22 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 111 281 0 29 Dec 2019
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 149 449 0 20 Dec 2019
A Model to Search for Synthesizable Molecules John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 61 109 0 12 Jun 2019
Scalable Generative Models for Graphs with Graph Attention Mechanism Wataru Kawai Yusuke Mukuta Tatsuya Harada GNN 44 17 0 05 Jun 2019
MolecularRNN: Generating realistic molecular graphs with optimized properties Mariya Popova Mykhailo Shvets Junier Oliva Olexandr Isayev GNN 77 167 0 31 May 2019
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 106 231 0 03 Dec 2018
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 56 292 0 09 Jul 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 179 930 0 30 May 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 70 73 0 27 May 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 110 303 0 28 Mar 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 203 663 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 142 854 0 24 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 127 856 0 09 Feb 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 89 625 0 22 Nov 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014