GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

9 February 2018

Papers citing "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders"

50 / 159 papers shown

Title
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 30 137 0 14 Dec 2020
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles Yafu Tian Alexander Carballo Ruifeng Li K. Takeda GNN 31 27 0 27 Nov 2020
Generative Layout Modeling using Constraint Graphs W. Para Paul Guerrero Tom Kelly Leonidas J. Guibas Peter Wonka 31 68 0 26 Nov 2020
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models Tomohide Masuda Matthew Ragoza D. Koes DiffM 37 52 0 16 Oct 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 46 147 0 13 Jul 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 28 280 0 17 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 21 43 0 17 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 32 100 0 12 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 43 46 0 09 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 286 0 07 May 2020
Graph2Plan: Learning Floorplan Generation from Layout Graphs Ruizhen Hu Zeyu Huang Yuhan Tang Oliver Matias van Kaick Hao Zhang Hui Huang GNN DRL 31 119 0 27 Apr 2020
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder Xiaojie Guo Yuanqi Du Sivani Tadepalli Liang Zhao Amarda Shehu DRL 30 26 0 08 Apr 2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution Xiaojie Guo Liang Zhao Cameron Nowzari S. Rafatirad Houman Homayoun Sai Manoj P D 45 27 0 22 Mar 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 28 31 0 14 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 28 279 0 08 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 34 6 0 05 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 66 426 0 26 Jan 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 18 91 0 22 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 26 67 0 17 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 51 278 0 29 Dec 2019
Effective Decoding in Graph Auto-Encoder using Triadic Closure Han Shi Haozheng Fan James T. Kwok AI4CE 14 39 0 26 Nov 2019
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 30 101 0 19 Nov 2019
Molecular Generative Model Based On Adversarially Regularized Autoencoder S. Hong Jaechang Lim Seongok Ryu W. Kim GAN DRL GNN 36 64 0 13 Nov 2019
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs Niklas Stoehr Emine Yilmaz Marc Brockschmidt Jan Stuehmer BDL CML DRL 27 14 0 12 Oct 2019
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 34 326 0 02 Oct 2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Yibo Li Jianxing Hu Yanxing Wang Jielong Zhou L. Zhang Zhenming Liu 30 92 0 20 Aug 2019
Image Classification with Hierarchical Multigraph Networks Boris Knyazev Xiaoyu Lin Mohamed R. Amer Graham W. Taylor GNN BDL 25 35 0 21 Jul 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 22 108 0 15 Jun 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings Alexander I. Cowen-Rivers Pasquale Minervini Tim Rocktaschel Matko Bosnjak Sebastian Riedel Jun Wang BDL 31 4 0 12 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 25 60 0 08 Jun 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules Niklas W. A. Gebauer M. Gastegger Kristof T. Schütt 40 202 0 02 Jun 2019
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation Mario Krenn Florian Hase AkshatKumar Nigam Pascal Friederich Alán Aspuru-Guzik 18 70 0 31 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 22 188 0 28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 22 34 0 28 May 2019
Adversarial Learned Molecular Graph Inference and Generation Sebastian Polsterl Christian Wachinger GAN 36 7 0 24 May 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 32 198 0 24 Apr 2019
Molecular geometry prediction using a deep generative graph neural network Elman Mansimov Omar Mahmood Seokho Kang Kyunghyun Cho 28 184 0 31 Mar 2019
Learning to Sample Hard Instances for Graph Algorithms Ryoma Sato M. Yamada H. Kashima 19 1 0 26 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 34 36 0 23 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 163 8,385 0 03 Jan 2019
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 30 158 0 22 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 33 224 0 03 Dec 2018
Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation Hyeoncheol Cho I. Choi 30 55 0 24 Nov 2018
GuacaMol: Benchmarking Models for De Novo Molecular Design Nathan Brown Marco Fiscato Marwin H. S. Segler Alain C. Vaucher ELM 44 693 0 22 Nov 2018
Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures Jing Lim Joshua Wong M. X. Wong Lee Han Eric Tan Hai Leong Chieu Davin Choo Neng Kai Nigel Neo 29 8 0 17 Nov 2018
Learning to Represent Edits Pengcheng Yin Graham Neubig Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt KELM 26 112 0 31 Oct 2018
Encoding Robust Representation for Graph Generation Dongmian Zou Gilad Lerman GNN 27 0 0 28 Sep 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 886 0 07 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 35 907 0 30 May 2018