  There are a variety of graphs where multidimensional feature values are
assigned to the nodes. Visualization of such datasets is not an easy task since
they are complex and often huge. Immersive Analytics is a powerful approach to
support the interactive exploration of such large and complex data. Many recent
studies on graph visualization have applied immersive analytics frameworks.
However, there have been few studies on immersive analytics for visualization
of multidimensional attributes associated with the input graphs. This paper
presents a new immersive analytics system that supports the interactive
exploration of multidimensional feature values assigned to the nodes of input
graphs. The presented system displays label-axes corresponding to the
dimensions of feature values, and label-edges that connect label-axes and
corresponding to the nodes. The system supports brushing operations which
controls the display of edges that connect a label-axis and nodes of the graph.
This paper introduces visualization examples with a graph dataset of Twitter
users and reviews by experts on graph data analysis.
