Many algorithms for graph layout have been devised over the last 30 years spanning both
the graph drawing and information visualisation communities. This article first reviews the …

Node-link diagrams provide an intuitive way to explore networks and have inspired a large
number of automated graph layout strategies that optimize aesthetic criteria. However, any …

Hierarchical abstraction is a scalable strategy to deal with large networks. Existing
visualization methods have allowed to aggregate the network nodes into hierarchies based …

Real-world, multivariate datasets are frequently too large to show in their entirety on a visual
display. Still, there are many techniques we can employ to show useful partial views …

Graph representation learning is a fast-growing field where one of the main objectives is to
generate meaningful representations of graphs in lower-dimensional spaces. The learned …

Providing insight in complex networks or graphs with multivariate data is one of the main
challenges for visual analysis today. Much work has been done for visualizing information …

We present a tool for immersive analysis of spatial energy data. The tool is built on ImAxes,
which was designed for immersive analytics of abstract data in virtual environments, and …

Providing insight in complex networks or graphs with multivariate data is one of the main
challenges for visual analysis today. Much work has been done for visualizing information …

There are opportunities to display information in different ways. Node-link methods are
common for multivariate networks, but there are a lot of other possibilities. To inspire new …

Ensuring food security in a world with an increasing population and demand on natural
resources is becoming ever more pertinent. Plant breeders are using an increasingly …