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Efficient Graph Generation with Graph Recurrent Attention Networks

2 October 2019

Shenlong Wang

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Papers citing "Efficient Graph Generation with Graph Recurrent Attention Networks"

50 / 201 papers shown

Title
ARTree: A Deep Autoregressive Model for Phylogenetic Inference Tianyu Xie Cheng Zhang 49 4 0 14 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 104 21 0 08 Oct 2023
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis Lin Yao Wentao Guo Zhen Wang Shang Xiang Wentan Liu Guolin Ke 89 14 0 27 Sep 2023
SANGEA: Scalable and Attributed Network Generation Valentin Lemaire Youssef Achenchabe Lucas Ody Houssem Eddine Souid G. Aversano Nicolas Posocco S. Skhiri 89 2 0 27 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 102 20 0 20 Sep 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 85 39 0 31 Aug 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies Karolis Martinkus J. Ludwiczak Kyunghyun Cho Weishao Lian J. Lafrance-Vanasse ... A. Rajpal Yongpeng Wu Richard Bonneau Vladimir Gligorijević Andreas Loukas DiffM 116 46 0 28 Jul 2023
GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs Taniya Das Mark Koch Maya Ravichandran Nikhil Khatri GNN 87 0 0 26 Jul 2023
Autoregressive Diffusion Model for Graph Generation Lingkai Kong Jiaming Cui Haotian Sun Yuchen Zhuang B. Prakash Chao Zhang DiffM 75 70 0 17 Jul 2023
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators Ousmane Touat Julian Stier Pierre-Edouard Portier Michael Granitzer 46 2 0 13 Jul 2023
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan Zhen-Long Liang Yang Song Renjie Liao Lele Wang DiffM 98 18 0 04 Jul 2023
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation Stratis Limnios Praveen Selvaraj Mihai Cucuringu Carsten Maple Gesine Reinert Andrew Elliott DiffM 97 8 0 29 Jun 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 109 3 0 20 Jun 2023
Generated Graph Detection Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 52 0 0 13 Jun 2023
Discrete Graph Auto-Encoder Yoann Boget Magda Gregorova Alexandros Kalousis 46 4 0 13 Jun 2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs S. Manchanda Shubham Gupta Sayan Ranu Srikanta J. Bedathur VLM 56 0 0 06 Jun 2023
Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 53 1 0 05 Jun 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 79 4 0 30 May 2023
Graph Generation with $K^2$ -trees Yunhui Jang Dongwoo Kim SungSoo Ahn 130 2 0 30 May 2023
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation Jie Bu Kazi Sajeed Mehrab Anuj Karpatne 91 3 0 24 May 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen Jiaxing He Xuhong Han Liping Liu DiffM 117 56 0 06 May 2023
Discovering Graph Generation Algorithms Mihai Babiac Karolis Martinkus Roger Wattenhofer 50 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 Xia Jiangbin Zheng Xihong Yang Yue Liu Bozhen Hu Stan Z. Li 122 15 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 60 1 0 11 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 129 47 0 04 Apr 2023
FairGen: Towards Fair Graph Generation Lecheng Zheng Dawei Zhou Hanghang Tong Jiejun Xu Yada Zhu Jingrui He 107 8 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 190 170 0 21 Mar 2023
Dynamic Vertex Replacement Grammars Daniel Gonzalez Cedre Justus Hibshman Timothy La Fond Grant M. Boquet Tim Weninger 58 0 0 21 Mar 2023
Blind Estimation of Audio Processing Graph Sungho Lee Jaehyung Park Seungryeol Paik Kyogu Lee 63 10 0 15 Mar 2023
On Hierarchical Multi-Resolution Graph Generative Models Mahdi Karami Jun Luo AI4CE 82 0 0 06 Mar 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 115 63 0 17 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs Nhat-Khang Ngô Truong-Son Hy Risi Kondor GNN BDL 41 2 0 17 Feb 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 60 6 0 07 Feb 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 109 23 0 07 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications Junfeng Fang Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 155 66 0 06 Feb 2023
Curvature Filtrations for Graph Generative Model Evaluation Joshua Southern Jeremy Wayland Michael M. Bronstein Bastian Rieck 90 17 0 30 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 65 0 0 26 Jan 2023
Improving Graph Generation by Restricting Graph Bandwidth N. Diamant Alex Tseng Kangway V Chuang Tommaso Biancalani Gabriele Scalia 84 8 0 25 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 140 44 0 01 Jan 2023
Realistic Synthetic Social Networks with Graph Neural Networks Alex O. Davies Nirav Ajmeri 77 5 0 15 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 78 41 0 04 Dec 2022
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 66 0 0 01 Dec 2022
Iterative Scene Graph Generation with Generative Transformers Sanjoy Kundu Sathyanarayanan N. Aakur ViT 85 28 0 30 Nov 2022
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models Muchen Li Jeffrey Liu Leonid Sigal Renjie Liao GNN 44 5 0 28 Nov 2022
Predicting Topological Maps for Visual Navigation in Unexplored Environments Huangying Zhan Hamid Rezatofighi Ian Reid 113 0 0 23 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 104 23 0 19 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 98 10 0 30 Oct 2022
G2A2: An Automated Graph Generator with Attributes and Anomalies S. Dey Sonal Jha Wu-chun Feng 36 0 0 14 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 112 4 0 04 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 209 57 0 04 Oct 2022