A Deep Generative Model for Graph Layout

A Deep Generative Model for Graph Layout

27 April 2019

Papers citing "A Deep Generative Model for Graph Layout"

10 / 10 papers shown

Title
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis Zhen Wen Yihan Liu Siwei Tan Jie Chen Minfeng Zhu Dongming Han Jianwei Yin Mingliang Xu Wei-Neng Chen GNN 35 12 0 18 Jul 2023
Can an NN model plainly learn planar layouts? S. V. Wageningen T. Mchedlidze GNN 11 0 0 02 Sep 2022
SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals Xiaoqi Wang Kevin Yen Yifan Hu Hang Shen 19 4 0 13 Jun 2022
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 21 20 0 21 Sep 2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN Xiaoqi Wang Kevin Yen Yifan Hu Han-Wei Shen GNN 18 19 0 27 Jun 2021
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning Ilkin Safarli Youjia Zhou Bei Wang 14 0 0 02 Nov 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics Tiankai Xie Yuxin Ma Hanghang Tong My T. Thai Ross Maciejewski MLAU 20 7 0 15 Sep 2020
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning Tan Tang Renzhong Li Xinke Wu Shuhan Liu Johannes Knittel Steffen Koch Thomas Ertl Lingyun Yu Peiran Ren Yingcai Wu 27 52 0 01 Sep 2020
A Study of Mental Maps in Immersive Network Visualization Joseph Kotlarek Oh-Hyun Kwon K. Ma Peter Eades Andreas Kerren Karsten Klein F. Schreiber 16 26 0 17 Jan 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 0 09 Jun 2018