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
Edge-based sequential graph generation with recurrent neural networks D. Bacciu A. Micheli Marco Podda GNN 8 34 0 31 Jan 2020
Goal-directed graph construction using reinforcement learning Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 6 14 0 30 Jan 2020
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information A. Budhiraja G. Hiranandani Darshak Chhatbar Aditya Sinha Navya Yarrabelly Ayush Choure Oluwasanmi Koyejo Prateek Jain 17 4 0 28 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 23 425 0 26 Jan 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 10 90 0 22 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 32 276 0 29 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 6 10 0 27 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 12 78 0 25 Dec 2019
Black Box Recursive Translations for Molecular Optimization Farhan N. Damani Vishnu Sresht Stephen Ra 17 5 0 21 Dec 2019
SGVAE: Sequential Graph Variational Autoencoder Bowen Jing Ethan A. Chi Jillian Tang BDL 15 2 0 17 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction David Friede Jovita Lukasik Heiner Stuckenschmidt M. Keuper GNN BDL DRL 14 8 0 11 Dec 2019
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio P. Santiago Soo K. Kim Joanne T. Kim 8 297 0 10 Dec 2019
Using Laplacian Spectrum as Graph Feature Representation Edouard Pineau 9 5 0 02 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
Heterogeneous Deep Graph Infomax Yuxiang Ren Bo Liu Chao Huang Peng Dai Liefeng Bo Jiawei Zhang 9 102 0 19 Nov 2019
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 23 154 0 18 Nov 2019
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction Anuththari Gamage Eli Chien Jianhao Peng O. Milenkovic GAN 16 15 0 08 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 18 62 0 04 Nov 2019
Image-Conditioned Graph Generation for Road Network Extraction Davide Belli Thomas Kipf GNN 8 40 0 31 Oct 2019
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 11 35 0 29 Oct 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 20 163 0 23 Oct 2019
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure Tony Duan Juho Lee GNN BDL CML 6 2 0 17 Oct 2019
Neural Turtle Graphics for Modeling City Road Layouts Aran Mohammad Daiqing Li David Acuna Amlan Kar Maria Shugrina Xinkai Wei Ming-Yu Liu Antonio Torralba Sanja Fidler 10 83 0 04 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton D. Duvenaud R. Urtasun R. Zemel GNN 20 325 0 02 Oct 2019
Graph Generation with Variational Recurrent Neural Network Shih-Yang Su Shunwei Lei Greg Mori GAN GNN 17 17 0 02 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 21 0 0 26 Sep 2019
Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks R. V. Deursen Guillaume Godin 17 1 0 24 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning Saurabh Verma Zhi-Li Zhang FedML GNN SSL 10 9 0 22 Sep 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 16 92 0 20 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo Paul Guerrero L. Yi Hao Su Peter Wonka Niloy Mitra Leonidas J. Guibas 3DPC 12 132 0 01 Aug 2019
Node Attribute Generation on Graphs Xu Chen Siheng Chen Huangjie Zheng Jiangchao Yao Kenan Cui Ya-Qin Zhang Ivor W. Tsang 15 2 0 23 Jul 2019
Discrete Object Generation with Reversible Inductive Construction Ari Seff Wenda Zhou Farhan N. Damani A. Doyle Ryan P. Adams 8 30 0 18 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification Kaisheng Gao Jing Zhang Cangqi Zhou 19 8 0 12 Jul 2019
Generative Models for Automatic Chemical Design Daniel Schwalbe-Koda Rafael Gómez-Bombarelli MedIm AI4CE 30 80 0 02 Jul 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 6 107 0 15 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 6 487 0 11 Jun 2019
Labeled Graph Generative Adversarial Networks Shuangfei Fan Bert Huang GAN 20 30 0 07 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 9 75 0 06 Jun 2019
Scalable Generative Models for Graphs with Graph Attention Mechanism Wataru Kawai Yusuke Mukuta Tatsuya Harada GNN 14 17 0 05 Jun 2019
Neural Markov Logic Networks G. Marra Ondrej Kuzelka NAI 16 41 0 31 May 2019
MolecularRNN: Generating realistic molecular graphs with optimized properties Mariya Popova Mykhailo Shvets Junier Oliva Olexandr Isayev GNN 27 163 0 31 May 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 11 3 0 30 May 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 6 2 0 30 May 2019
Graph Learning Network: A Structure Learning Algorithm Darwin Danilo Saire Pilco Adín Ramirez Rivera GNN 6 15 0 29 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 6 186 0 28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 14 34 0 28 May 2019
Embeddings and Representation Learning for Structured Data Benjamin Paassen Claudio Gallicchio A. Micheli A. Sperduti 13 7 0 15 May 2019
A Deep Generative Model for Graph Layout Oh-Hyun Kwon K. Ma DRL GNN 11 48 0 27 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 11 196 0 24 Apr 2019
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs Woojeong Jin Changlin Zhang Pedro A. Szekely Xiang Ren GNN 4 59 0 11 Apr 2019