activity
20172020
most citedWhat Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization

90 citations · 120 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2020

A Study of Mental Maps in Immersive Network Visualization

Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma +4

The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immers…

cs.HC202030 cited

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil Chandrasegaran +1

Mind mapping is a popular way to explore a design space in creative thinking exercises, allowing users to form associations between concepts. Yet, most existing digital tools for m…

cs.LG2019

Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning

Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma

Dimensionality reduction (DR) is frequently used for analyzing and visualizing high-dimensional data as it provides a good first glance of the data. However, to interpret the DR re…

cs.SI2019

A Deep Generative Model for Graph Layout

Oh-Hyun Kwon, Kwan-Liu Ma

Different layouts can characterize different aspects of the same graph. Finding a "good" layout of a graph is thus an important task for graph visualization. In practice, users oft…

cs.SI201790 cited

What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization

Oh-Hyun Kwon, Tarik Crnovrsanin, Kwan-Liu Ma

Using different methods for laying out a graph can lead to very different visual appearances, with which the viewer perceives different information. Selecting a "good" layout metho…