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
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models Muchen Li Jeffrey Liu Leonid Sigal Renjie Liao GNN 19 4 0 28 Nov 2022
Link Prediction with Non-Contrastive Learning William Shiao Zhichun Guo Tong Zhao Evangelos E. Papalexakis Yozen Liu Neil Shah 19 15 0 25 Nov 2022
Predicting Topological Maps for Visual Navigation in Unexplored Environments Huangying Zhan Hamid Rezatofighi Ian Reid 31 0 0 23 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 15 21 0 19 Nov 2022
Knowledge Graph Generation From Text Igor Melnyk Pierre L. Dognin Payel Das 10 23 0 18 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 22 0 16 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 20 0 12 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 66 4 0 11 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 25 10 0 30 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 17 52 0 16 Oct 2022
G2A2: An Automated Graph Generator with Attributes and Anomalies S. Dey Sonal Jha Wu-chun Feng 16 0 0 14 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 19 14 0 12 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 19 41 0 11 Oct 2022
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu Haoran Liu Shuiwang Ji 17 5 0 11 Oct 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 40 8 0 11 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation Sajad Darabi P. Bigaj Dawid Majchrowski Artur Kasymov Pawel M. Morkisz A. Fit-Florea 25 4 0 04 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 83 51 0 04 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 42 14 0 01 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 33 36 0 30 Sep 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 22 1 0 30 Sep 2022
SCGG: A Deep Structure-Conditioned Graph Generative Model Faezeh Faez Negin Hashemi Dijujin M. Baghshah Hamid R. Rabiee GNN BDL 10 4 0 20 Sep 2022
Scene Graph Modification as Incremental Structure Expanding Xuming Hu Zhijiang Guo Yuwei Fu Lijie Wen Philip S. Yu 26 2 0 15 Sep 2022
Earthquake Phase Association with Graph Neural Networks I. McBrearty G. Beroza 17 38 0 15 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 41 20 0 12 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye Lemeng Wu Qiang Liu DiffM 13 18 0 02 Sep 2022
Large-Scale Auto-Regressive Modeling Of Street Networks Michael Birsak Tom Kelly W. Para Peter Wonka GNN AI4TS 9 5 0 01 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 24 6 0 25 Aug 2022
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction Atia Hamidizadeh Tony Shen Martin Ester DRL 22 0 0 10 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 30 366 0 05 Aug 2022
Node Copying: A Random Graph Model for Effective Graph Sampling Florence Regol Soumyasundar Pal Jianing Sun Yingxue Zhang Yanhui Geng Mark J. Coates 21 5 0 04 Aug 2022
One Node at a Time: Node-Level Network Classification S. Shai Isaac Jacobs P. Mucha GNN 14 1 0 03 Aug 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems Shoummo Ahsan Khandoker Jawaril Munshad Abedin Mohamed Hibat-Allah 13 8 0 17 Jul 2022
FLOWGEN: Fast and slow graph generation Aman Madaan Yiming Yang AI4CE 6 3 0 15 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 17 7 0 10 Jul 2022
GEMS: Scene Expansion using Generative Models of Graphs Rishi G. Agarwal Tirupati Saketh Chandra Vaidehi Patil Aniruddha Mahapatra K. Kulkarni Vishwa Vinay 28 4 0 08 Jul 2022
Graph Learning based Generative Design for Resilience of Interdependent Network Systems Jiaxin Wu Pingfeng Wang AI4CE 20 6 0 03 Jul 2022
Evaluating Graph Generative Models with Contrastively Learned Features Hamed Shirzad Kaveh Hassani Danica J. Sutherland 14 7 0 13 Jun 2022
An Unpooling Layer for Graph Generation Yi Guo Dongmian Zou Gilad Lerman 10 2 0 04 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 33 0 0 31 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 40 540 0 22 May 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design Yinan Huang Xing Peng Jianzhu Ma Muhan Zhang BDL 28 46 0 15 May 2022
Generating 3D Molecules for Target Protein Binding Meng Liu Youzhi Luo Kanji Uchino Koji Maruhashi Shuiwang Ji 6 112 0 19 Apr 2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph Yuan Gao Xiang Wang Xiangnan He Huamin Feng Yongdong Zhang SSL 8 45 0 19 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie R. Kannan C.-C. Jay Kuo 22 2 0 19 Apr 2022
A generative neural network model for random dot product graphs Vittorio Loprinzo L. Younes GAN GNN 6 0 0 15 Apr 2022
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning Swarnadeep Saha Prateek Yadav Mohit Bansal 8 9 0 11 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 27 66 0 04 Apr 2022
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series J. Clarkson Mihai Cucuringu Andrew Elliott G. Reinert AI4TS 19 2 0 28 Mar 2022
Gransformer: Transformer-based Graph Generation Ahmad Khajenezhad Seyed Ali Osia Mahmood Karimian H. Beigy 4 2 0 25 Mar 2022