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
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 25 17 0 19 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 26 67 0 13 Mar 2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators Wenkai Xu G. Reinert 17 4 0 07 Mar 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs Shubham Gupta S. Manchanda Srikanta J. Bedathur Sayan Ranu 16 18 0 07 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 16 20 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 50 19 0 28 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 35 50 0 22 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 19 218 0 16 Feb 2022
Learning to Discover Medicines T. Nguyen Thin Nguyen T. Tran 22 1 0 14 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 14 1 0 08 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 16 207 0 05 Feb 2022
Autoencoding Hyperbolic Representation for Adversarial Generation Eric Qu Dongmian Zou GAN 28 4 0 30 Jan 2022
ReGAE: Graph autoencoder based on recursive neural networks Adam Malkowski Jakub Grzechociñski Pawel Wawrzyñski GNN 17 0 0 28 Jan 2022
GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features Kohei Watabe Shohei Nakazawa Yoshiki Sato Sho Tsugawa K. Nakagawa 14 3 0 27 Jan 2022
On Evaluation Metrics for Graph Generative Models Rylee Thompson Boris Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor EGVM 35 41 0 24 Jan 2022
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement Tianze Wang A. H. Payberah D. Hagos Vladimir Vlassov GNN 12 0 0 21 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 19 61 0 04 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 19 8 0 25 Dec 2021
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods Md. Khaledur Rahman A. Azad AI4TS 22 3 0 20 Dec 2021
Contextualized Scene Imagination for Generative Commonsense Reasoning Peifeng Wang Jonathan Zamora Junfeng Liu Filip Ilievski Muhao Chen Xiang Ren ReLM LRM 22 16 0 12 Dec 2021
Permutation Equivariant Generative Adversarial Networks for Graphs Yoann Boget Magda Gregorova Alexandros Kalousis GAN 11 0 0 07 Dec 2021
SchemaDB: Structures in Relational Datasets Cody James Christopher Kristen Moore David Liebowitz 6 3 0 24 Nov 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 150 130 0 29 Oct 2021
On the Power of Edge Independent Graph Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 25 15 0 29 Oct 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 18 20 0 29 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 24 175 0 21 Oct 2021
MELONS: generating melody with long-term structure using transformers and structure graph Yi Zou Pei Zou Yi Zhao Kai Zhang Ran Zhang Xiaorui Wang MGen 14 33 0 11 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design Yi Zhang AI4CE 28 4 0 10 Oct 2021
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation Jiaying Lu Xiangjue Dong Carl Yang 19 3 0 08 Oct 2021
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation Yassaman Ommi Matin Yousefabadi Faezeh Faez Amirmojtaba Sabour M. Baghshah Hamid R. Rabiee GNN CML BDL 20 4 0 07 Oct 2021
Learning Structural Representations for Recipe Generation and Food Retrieval Hao Wang Guosheng Lin S. Hoi C. Miao 16 28 0 04 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 24 248 0 03 Oct 2021
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users Ondrej Lukás S. Garcia 25 7 0 13 Sep 2021
Adversarial Stein Training for Graph Energy Models Shiv Shankar BDL 19 0 0 30 Aug 2021
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning Di Chen Yiwei Bai Sebastian Ament Wenting Zhao D. Guevarra Lan Zhou B. Selman R. B. Dover J. Gregoire Carla P. Gomes 12 47 0 21 Aug 2021
Temporal Graph Network Embedding with Causal Anonymous Walks Representations Ilya Makarov Andrey V. Savchenko Arseny Korovko Leonid Sherstyuk Nikita Severin Aleksandr Mikheev Dmitrii Babaev 14 6 0 19 Aug 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 10 23 0 12 Aug 2021
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering Jingjing Jiang Zi-yi Liu Yifan Liu Zhixiong Nan N. Zheng OOD 22 19 0 24 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 15 4 0 21 Jul 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation Marco Podda D. Bacciu BDL 17 9 0 18 Jul 2021
Graph Representation Learning for Road Type Classification Zahra Gharaee S. Kowshik Oliver Stromann M. Felsberg GNN 14 30 0 16 Jul 2021
Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction Zhe Huang Ruohua Li Kazuki Shin Katherine Driggs-Campbell 38 16 0 15 Jul 2021
Graph-based Deep Generative Modelling for Document Layout Generation Sanket Biswas Pau Riba Josep Lladós Umapada Pal 9 3 0 09 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 19 13 0 05 Jul 2021
Multi-modal Graph Learning for Disease Prediction Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yao Zhao 23 97 0 01 Jul 2021
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning Kiarash Zahirnia A. Sakhuja Oliver Schulte P. Nadaf Ke Li Xia Hu 11 0 0 29 Jun 2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps Lu Mi Hang Zhao C. Nash Xiaohan Jin Jiyang Gao Chen Sun Cordelia Schmid Nir Shavit Yuning Chai Drago Anguelov 14 52 0 28 Jun 2021
Continuous-Depth Neural Models for Dynamic Graph Prediction Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 9 8 0 22 Jun 2021
TD-GEN: Graph Generation With Tree Decomposition Hamed Shirzad Hossein Hajimirsadeghi A. Abdi Greg Mori 20 3 0 20 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 27 1 0 18 Jun 2021