Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

A graph is an abstract model that represents relations among entities, for example, the
interactions between characters in a novel. A background story endows entities and …

In recent times, visual analytics systems (VAS) have been used to solve various complex
issues in diverse application domains. Nonetheless, an inherent drawback arises from the …

Node-link diagrams are widely used to facilitate network explorations. However, when using
a graph drawing technique to visualize networks, users often need to tune different algorithm …

Quantum computing is a rapidly evolving field that enables exponential speed-up over
classical algorithms. At the heart of this revolutionary technology are quantum circuits, which …

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 often …

An expeditious development of graph learning in recent years has found innumerable
applications in several di-versified fields. Of the main associated challenges are the volume …

We contribute a method to automate parameter configurations for chart layouts by learning
from human preferences. Existing charting tools usually determine the layout parameters …

Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …