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
CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication Jingyao Wang Luntian Mou Changwen Zheng Wen Gao AAML 11 4 0 18 Jul 2023
Autoregressive Diffusion Model for Graph Generation Lingkai Kong Jiaming Cui Haotian Sun Yuchen Zhuang B. Prakash Chao Zhang DiffM 18 65 0 17 Jul 2023
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan Zhen-Long Liang Yang Song Renjie Liao Lele Wang DiffM 46 18 0 04 Jul 2023
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation Stratis Limnios Praveen Selvaraj Mihai Cucuringu Carsten Maple G. Reinert Andrew Elliott DiffM 22 7 0 29 Jun 2023
Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev Evgeny Burnaev 22 3 0 27 Jun 2023
Molecular geometric deep learning Cong Shen Jiawei Luo Kelin Xia AI4CE 9 12 0 22 Jun 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 39 3 0 20 Jun 2023
Generated Graph Detection Y. Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 6 0 0 13 Jun 2023
Discrete Graph Auto-Encoder Yoann Boget Magda Gregorova Alexandros Kalousis 8 4 0 13 Jun 2023
Hyperbolic Graph Diffusion Model Lingfeng Wen Xuan Tang Mingjie Ouyang Xiangxiang Shen Jian Yang Daxin Zhu Mingsong Chen Xian Wei 31 2 0 13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 13 7 0 12 Jun 2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs S. Manchanda Shubham Gupta Sayan Ranu Srikanta J. Bedathur VLM 20 0 0 06 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 22 7 0 06 Jun 2023
Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 14 1 0 05 Jun 2023
AbODE: Ab Initio Antibody Design using Conjoined ODEs Yogesh Verma Markus Heinonen Vikas K. Garg 16 18 0 31 May 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 30 1 0 31 May 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 31 4 0 30 May 2023
Graph Generation with $K^2$ -trees Yunhui Jang Dongwoo Kim Sungsoo Ahn 32 2 0 30 May 2023
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation Jie Bu Kazi Sajeed Mehrab Anuj Karpatne 19 3 0 24 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 54 3 0 23 May 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani 27 2 0 16 May 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen Jiaxing He Xuhong Han Liping Liu DiffM 22 46 0 06 May 2023
Discovering Graph Generation Algorithms Mihai Babiac Karolis Martinkus Roger Wattenhofer 16 1 0 25 Apr 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer Cheng Tan Zhangyang Gao Lirong Wu Jun-Xiong Xia Jiangbin Zheng Xihong Yang Yue Liu Bozhen Hu Stan Z. Li 22 14 0 21 Apr 2023
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing Wei Lu Nicolas A. Lee Markus J. Buehler AI4CE 11 1 0 11 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 16 27 0 06 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 31 44 0 04 Apr 2023
FairGen: Towards Fair Graph Generation Lecheng Zheng Dawei Zhou Hanghang Tong Jiejun Xu Yada Zhu Jingrui He 17 7 0 30 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 75 157 0 21 Mar 2023
Dynamic Vertex Replacement Grammars Daniel Gonzalez Cedre Justus Hibshman Timothy La Fond Grant M. Boquet Tim Weninger 20 0 0 21 Mar 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Jia Wu Chun-Yi Liu Philip S. Yu 14 44 0 17 Mar 2023
On Hierarchical Multi-Resolution Graph Generative Models Mahdi Karami Jun Luo AI4CE 29 0 0 06 Mar 2023
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows Chao Qi Jianqin Yin Jinghang Xu Pengxiang Ding 3DPC 31 4 0 21 Feb 2023
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions Jing Xu Shuo Wang N. Ying Xiao Xiao Jiang Zhang Yun Cheng Zhiling Jin Gangfeng Zhang 14 0 0 20 Feb 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 9 5 0 07 Feb 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 24 19 0 07 Feb 2023
Curvature Filtrations for Graph Generative Model Evaluation Joshua Southern Jeremy Wayland Michael M. Bronstein Bastian Alexander Rieck 14 14 0 30 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 26 30 0 29 Jan 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model Alexander Campbell Simeon E. Spasov N. Toschi Pietro Lio' 22 0 0 26 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Yuji Chai Devashree Tripathy Chu Zhou Dibakar Gope Igor Fedorov Ramon Matas David Brooks Gu-Yeon Wei P. Whatmough GNN 24 4 0 26 Jan 2023
Improving Graph Generation by Restricting Graph Bandwidth N. Diamant Alex Tseng Kangway V Chuang Tommaso Biancalani Gabriele Scalia 22 7 0 25 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 30 10 0 14 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 27 7 0 12 Jan 2023
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images Xindi Wu Kwun-fung Lau Francesco Ferroni Aljosa Osep Deva Ramanan 29 7 0 10 Jan 2023
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation Junjia Liu Jianfei Guo Zehui Meng Jing-wen Xue 15 4 0 06 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 27 40 0 01 Jan 2023
EDoG: Adversarial Edge Detection For Graph Neural Networks Xiaojun Xu Yue Yu Hanzhang Wang Alok Lal C.A. Gunter Bo Li AAML 24 10 0 27 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 24 42 0 04 Dec 2022
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 10 0 0 01 Dec 2022