Efficient Graph Generation with Graph Recurrent Attention Networks

2 October 2019

Shenlong Wang

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

39 / 39 papers shown

Title
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method Abhijeet Sahu Truc Nguyen Kejun Chen Xiangyu Zhang Malik Hassanaly 24 1 0 06 Sep 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 29 3 0 10 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 27 8 0 19 May 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Alexander Rieck 22 3 0 27 Nov 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 22 7 0 20 Oct 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 26 30 0 31 Aug 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 37 3 0 20 Jun 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
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 35 50 0 17 Feb 2023
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 10 0 0 01 Dec 2022
Predicting Topological Maps for Visual Navigation in Unexplored Environments Huangying Zhan Hamid Rezatofighi Ian Reid 28 0 0 23 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 13 21 0 19 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
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 83 51 0 04 Oct 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 19 6 0 25 Aug 2022
Deception for Cyber Defence: Challenges and Opportunities David Liebowitz Surya Nepal Kristen Moore Cody James Christopher S. Kanhere David D. Nguyen Roelien C. Timmer Michael Longland Keerth Rathakumar 24 10 0 15 Aug 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 15 6 0 03 Jul 2022
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 25 6 0 19 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 25 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 13 2 0 28 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
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 14 207 0 05 Feb 2022
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 20 2 0 03 Nov 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 11 20 0 29 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 13 175 0 21 Oct 2021
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design Wengong Jin Jeremy Wohlwend Regina Barzilay Tommi Jaakkola 6 136 0 09 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 63 34 0 05 Oct 2021
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users Ondrej Lukás S. Garcia 18 7 0 13 Sep 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 10 23 0 12 Aug 2021
Group-Node Attention for Community Evolution Prediction Matt Revelle C. Domeniconi Ben U. Gelman 23 3 0 09 Jul 2021
Multi-modal Graph Learning for Disease Prediction Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yao Zhao 18 97 0 01 Jul 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 16 1 0 18 Jun 2021
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 21 145 0 13 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 546 0 27 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 11 43 0 17 Jun 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 8 31 0 14 Feb 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 184 884 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,329 0 12 Feb 2018