Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

The analysis of large graphs plays a prominent role in various fields of research and is
relevant in many important application areas. Effective visual analysis of graphs requires …

GeneaQuilts is a new visualization technique for representing large genealogies of up to
several thousand individuals. Thevisualization takes the form of a diagonally-filled matrix …

A comprehensive and comprehensible summary of existing deep neural networks (DNNs)
helps practitioners understand the behaviour and evolution of DNNs, offers insights for …

High-performance computing (HPC) systems play a critical role in facilitating scientific
discoveries. Their scale and complexity (eg, the number of computational units and software …

Traditional layered graph depictions such as flow charts are in wide use. Yet as graphs grow
more complex, these depictions can become difficult to understand. Quilts are matrix-based …

We introduce Papilio, a new visualization technique for visualizing permissions of real‐world
Android applications. We explore the development of layouts that exploit the directed acyclic …

Extensive research over the last 20 or more years has been devoted to the problem of
minimizing the total number of crossings in layered directed acyclic graphs (dags) …

We use data from a study of three different graph depictions: node-link, centered matrix, and
quilts to explore how pathfinding time is influenced by the graph structure, measured by the …

Visualization of hierarchical weighted and directed graphs are usually done with node-link
or adjacency matrix diagrams. However, these representations suffer from various …