The graph drawing and information visualization communities have developed many
sophisticated techniques for visualizing network data, often involving complicated algorithms …

The cluster structure of many real-world graphs is of great interest, as the clusters may
correspond eg to communities in social networks or to cohesive modules in software …

This book targets computer scientists and engineers who are familiar with concepts in
classical computer systems but are curious to learn the general architecture of quantum …

Scalability and performance implications of semantic net visualization techniques are open
research challenges. This paper focuses on developing a visualization technique that …

Data physicalisations afford people the ability to directly interact with data using their hands,
potentially achieving a more comprehensive understanding of a dataset. Due to their …

Quantum computers have recently made great strides and are on a long-term path towards
useful fault-tolerant computation. A dominant overhead in fault-tolerant quantum …

Knowledge constantly grows in scientific discourse and is revised over time by different
stakeholders, either collaboratively or through institutionalized efforts. The body of …

We present a multi-level area balancing technique for laying out clustered graphs to
facilitate a comprehensive understanding of the complex relationships that exist in various …

We introduce a novel formalism that performs dimensionality reduction and captures
topological features (such as the shape of the observed data) to conduct pattern …

A RAC drawing of a graph is a polyline drawing in which every pair of crossing edges
intersects at right angle. In this paper, we focus on straight-line RAC drawings and …