Evaluating the Readability of Force Directed Graph Layouts: A Deep
Learning Approach

Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach

2 August 2018

Huamin Qu

Papers citing "Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach"

7 / 7 papers shown

Title
PREVis: Perceived Readability Evaluation for Visualizations Anne-Flore Cabouat Tingying He Petra Isenberg Tobias Isenberg 36 3 0 20 Jul 2024
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 Chen GNN 46 13 0 18 Jul 2023
Can an NN model plainly learn planar layouts? S. V. Wageningen T. Mchedlidze GNN 16 0 0 02 Sep 2022
SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals Xiaoqi Wang Kevin Yen Yifan Hu Hang Shen 27 4 0 13 Jun 2022
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning Huan Song Zeng Dai Panpan Xu Liu Ren NAI GNN 33 10 0 18 Feb 2022
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN Xiaoqi Wang Kevin Yen Yifan Hu Han-Wei Shen GNN 28 19 0 27 Jun 2021
Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison Aoyu Wu Liwenhan Xie Bongshin Lee Yun Wang Weiwei Cui Huamin Qu 46 33 0 11 Jan 2021