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
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 19 65 0 11 Jun 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 22 34 0 11 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 21 99 0 09 Jun 2021
Graph2Graph Learning with Conditional Autoregressive Models Guan Wang F. Lauze Aasa Feragen CML GNN AI4CE 14 2 0 06 Jun 2021
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery Yulun Wu Mikaela Cashman Nicholas Choma E. Prates V. G. M. Vergara ... M. Head Rick L. Stevens Peter Nugent Daniel A. Jacobson James B. Brown GNN 33 10 0 04 Jun 2021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions Leslie O’Bray Max Horn Bastian Alexander Rieck Karsten M. Borgwardt 6 40 0 02 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong Son-Hy Risi Kondor 11 16 0 02 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 37 6 0 31 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 16 177 0 27 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 14 4 0 25 May 2021
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features Saeedreza Shehnepoor R. Togneri Wei Liu Bennamoun 13 16 0 25 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 15 4 0 23 May 2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray Nkechinyere N. Agu Joy T. Wu Hanqing Chao Ismini Lourentzou Arjun Sharma Mehdi Moradi Pingkun Yan James A. Hendler 12 34 0 20 May 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 16 167 0 19 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 26 23 0 12 May 2021
Graph-based Neural Architecture Search with Operation Embeddings Michail Chatzianastasis George Dasoulas Georgios Siolas Michalis Vazirgiannis AI4CE 12 10 0 11 May 2021
Graph Neural Networks for Traffic Forecasting João Rico J. Barateiro Arlindo L. Oliveira AI4TS AI4CE 16 11 0 27 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 39 6 0 20 Apr 2021
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning R. Winter Frank Noé Djork-Arné Clevert BDL SSL 6 23 0 20 Apr 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning Swarnadeep Saha Prateek Yadav Lisa Bauer Mohit Bansal LRM 28 56 0 15 Apr 2021
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction Manling Li Sha Li Zhenhailong Wang Lifu Huang Kyunghyun Cho Heng Ji Jiawei Han Clare R. Voss 15 54 0 13 Apr 2021
Contextual Scene Augmentation and Synthesis via GSACNet Mohammad Keshavarzi Flaviano Christian Reyes R. Shrivastava Oladapo Afolabi Luisa Caldas A. Yang 3DPC 14 4 0 29 Mar 2021
House-GAN++: Generative Adversarial Layout Refinement Networks Nelson Nauata Sepidehsadat Hosseini Kai-Hung Chang Hang Chu Chin-Yi Cheng Yasutaka Furukawa GAN 43 26 0 03 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 14 323 0 22 Feb 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 28 964 0 19 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 6 157 0 09 Feb 2021
In-game Residential Home Planning via Visual Context-aware Global Relation Learning Lijuan Liu Yin Yang Yi Yuan Tianjia Shao He-Nan Wang Kun Zhou 16 5 0 08 Feb 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation Maksim Kuznetsov Daniil Polykovskiy 17 40 0 03 Feb 2021
Graph Coarsening with Neural Networks Chen Cai Dingkang Wang Yusu Wang DD 22 66 0 02 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 171 187 0 01 Feb 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 16 247 0 25 Jan 2021
Generating a Doppelganger Graph: Resembling but Distinct Yuliang Ji Ru Huang Jie Chen Yuanzhe Xi 19 2 0 23 Jan 2021
Directed Acyclic Graph Neural Networks Veronika Thost Jie Chen GNN AI4CE 9 104 0 20 Jan 2021
SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan K. Wong Shenlong Wang S. Manivasagam Mengye Ren R. Urtasun 16 100 0 16 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 37 57 0 31 Dec 2020
Building LEGO Using Deep Generative Models of Graphs Rylee Thompson Elahe Ghalebi Terrance Devries Graham W. Taylor GAN AI4CE 23 20 0 21 Dec 2020
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 43 56 0 21 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 12 133 0 14 Dec 2020
Recursive Tree Grammar Autoencoders Benjamin Paassen I. Koprinska K. Yacef 14 8 0 03 Dec 2020
Generative Layout Modeling using Constraint Graphs W. Para Paul Guerrero Tom Kelly Leonidas J. Guibas Peter Wonka 8 51 0 26 Nov 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 11 536 0 09 Nov 2020
Joint Entity and Relation Extraction with Set Prediction Networks Dianbo Sui Yubo Chen Kang Liu Jun Zhao Xiangrong Zeng Shengping Liu 9 142 0 03 Nov 2020
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya-Qin Zhang Ivor W Tsang 16 85 0 03 Nov 2020
Neural Language Modeling for Contextualized Temporal Graph Generation Aman Madaan Yiming Yang 33 20 0 20 Oct 2020
Deep Generative Modeling in Network Science with Applications to Public Policy Research Gavin Hartnett R. Vardavas Lawrence Baker Michael Chaykowski C. Gibson F. Girosi David Kennedy Osonde A. Osoba 14 2 0 15 Oct 2020
Disentangled Dynamic Graph Deep Generation Wenbin Zhang Liming Zhang Dieter Pfoser Liang Zhao 14 37 0 14 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Jovita Lukasik David Friede Arber Zela Frank Hutter M. Keuper 8 19 0 09 Oct 2020
Scalable Normalizing Flows for Permutation Invariant Densities Marin Bilos Stephan Günnemann TPM 6 23 0 07 Oct 2020
Scene Graph Modification Based on Natural Language Commands Xuanli He Quan Hung Tran Gholamreza Haffari Walter Chang Trung Bui Zhe-nan Lin Franck Dernoncourt Nhan Dam GNN 28 8 0 06 Oct 2020