GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

24 February 2018

Xiang Ren

Papers citing "GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models"

50 / 426 papers shown

Title
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 12 224 0 30 Sep 2020
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints Liming Zhang Liang Zhao Dieter Pfoser 6 3 0 20 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 37 115 0 11 Sep 2020
Structure-Aware Generation Network for Recipe Generation from Images Hao Wang Guosheng Lin S. Hoi C. Miao 8 32 0 02 Sep 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation Jeevan Devaranjan Amlan Kar Sanja Fidler 12 88 0 20 Aug 2020
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design Ari Seff Yaniv Ovadia Wenda Zhou Ryan P. Adams AI4CE 3DV 13 68 0 16 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 26 145 0 13 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 14 136 0 13 Jul 2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification Jiajun Zhou Jie Shen Shanqing Yu Guanrong Chen Qi Xuan 9 23 0 11 Jul 2020
Multilevel Graph Matching Networks for Deep Graph Similarity Learning Xiang Ling Lingfei Wu Sai-gang Wang Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji 12 56 0 08 Jul 2020
GraphOpt: Learning Optimization Models of Graph Formation Rakshit S. Trivedi Jiachen Yang H. Zha OffRL 14 17 0 07 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 13 28 0 03 Jul 2020
Scalable Deep Generative Modeling for Sparse Graphs H. Dai Azade Nazi Yujia Li Bo Dai Dale Schuurmans BDL 17 77 0 28 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 546 0 27 Jun 2020
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits Mikolaj Sacha Mikolaj Blaz Piotr Byrski Paweł Dąbrowski-Tumański Mikołaj Chromiński Rafał Loska Pawel Wlodarczyk-Pruszynski Stanislaw Jastrzebski GNN 4 141 0 27 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 6 90 0 26 Jun 2020
Non-Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal Saber Malekmohammadi Florence Regol Yingxue Zhang Yishi Xu Mark J. Coates 22 11 0 23 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 28 85 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola C. Alippi GNN 8 154 0 22 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J. Zaki 22 406 0 21 Jun 2020
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design Xiufeng Yang T. Aasawat Kazuki Yoshizoe 17 0 0 18 Jun 2020
Neural Architecture Optimization with Graph VAE Jian Li Yong Liu Jiankun Liu Weiping Wang GNN 13 16 0 18 Jun 2020
UV-Net: Learning from Boundary Representations P. Jayaraman Aditya Sanghi Joseph G. Lambourne Karl D. D. Willis T. Davies Hooman Shayani Nigel Morris 8 11 0 18 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 13 43 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 24 1,582 0 15 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 30 46 0 09 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need? Sang-yong Yoo Young-Seok Kim Kang Lee Kuhwan Jeong Junhwi Choi Hoshik Lee Y. S. Choi GNN 6 11 0 09 Jun 2020
DeepGG: a Deep Graph Generator Julian Stier Michael Granitzer GNN BDL 22 5 0 07 Jun 2020
SHADOWCAST: Controllable Graph Generation W. Tann E. Chang Bryan Hooi 6 2 0 06 Jun 2020
Auto-decoding Graphs Sohil Shah V. Koltun GNN 26 4 0 04 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 20 284 0 07 May 2020
Secure Deep Graph Generation with Link Differential Privacy Carl Yang Haonan Wang Ke Zhang Liang Chen Lichao Sun 20 40 0 01 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 15 118 0 27 Apr 2020
Tree Echo State Autoencoders with Grammars Benjamin Paassen I. Koprinska K. Yacef 6 2 0 19 Apr 2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning Yanyan Liang Yanfeng Zhang Dechao Gao Qian Xu GNN 6 4 0 15 Apr 2020
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder Xiaojie Guo Yuanqi Du Sivani Tadepalli Liang Zhao Amarda Shehu DRL 14 26 0 08 Apr 2020
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets Ming Liang Yao Meng Jiyu Wang D. Lubkeman N. Lu GAN 9 21 0 03 Apr 2020
A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi Minkai Xu Hongyu Guo Ming Zhang Jian Tang 6 151 0 28 Mar 2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution Xiaojie Guo Liang Zhao Cameron Nowzari S. Rafatirad Houman Homayoun Sai Manoj Pudukotai Dinakarrao 37 27 0 22 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders Daniil Polykovskiy Dmitry Vetrov OffRL 8 8 0 04 Mar 2020
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets Shanchao Yang Jing Liu K. Wu Mingming Li GAN AI4CE 40 3 0 03 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 19 10 0 02 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 23 258 0 02 Mar 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine P. Corcoran 10 5 0 29 Feb 2020
A Deep Generative Model for Fragment-Based Molecule Generation Marco Podda D. Bacciu A. Micheli VLM BDL 4 51 0 28 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes C. Nash Yaroslav Ganin A. Eslami Peter W. Battaglia AI4CE 4 254 0 23 Feb 2020
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors Yue Zhang Arti Ramesh 16 2 0 21 Feb 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 15 31 0 14 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 37 319 0 10 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 19 278 0 08 Feb 2020