Results 221 to 230 of about 260,337 (262)

Graph Signatures for Visual Analytics

IEEE Transactions on Visualization and Computer Graphics, 2006
We present a visual analytics technique to explore graphs using the concept of a data signature. A data signature, in our context, is a multidimensional vector that captures the local topology information surrounding each graph node. Signature vectors extracted from a graph are projected onto a low-dimensional scatterplot through the use of scaling ...
Pak Chung Wong, Harlan Foote, George Chin Jr., Patrick Mackey, Ken Perrine   +4 more
openaire   +3 more sources

Visual Inspection of Multivariate Graphs

Computer Graphics Forum, 2008
AbstractMost graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations and patterns in terms of data associated with nodes and edges, we present a technique where this data plays a more central role.
Pretorius, A.J., Wijk, van, J.J.
openaire   +2 more sources

Graph visualization and navigation in information visualization: A survey

IEEE Transactions on Visualization and Computer Graphics, 2000
This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as Web browsing, state-transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application.
Guy Melancon
exaly   +2 more sources

Visualizing Graphs and Clusters as Maps

IEEE Computer Graphics and Applications, 2010
Information visualization is essential in making sense of large datasets. Often, high-dimensional data are visualized as a collection of points in 2D space through dimensionality reduction techniques. However, these traditional methods often don't capture the underlying structural information, clustering, and neighborhoods well.
Yifan Hu 0001, Emden R. Gansner, Stephen G. Kobourov   +2 more
openaire   +3 more sources

Graph Magic: A Visual Graph Package for Students

Computer Science Education, 2003
This paper presents Graph Magic, a package of Java classes that represents graphs. It is specifically designed for undergraduate students to use early in their studies. It combines graph visualization with ease of programming. It allows students to implement graph algorithms using high level, easy to understand methods. Students create graphs for their
Stuart Hansen 0001, Karen Tuinstra, Jason Pisani, Lester I. McCann   +3 more
openaire   +1 more source

Combining Timeline and Graph Visualization

Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, 2014
Timelines are as important for presenting temporal data as node-link diagrams are relevant for displaying graphs and relations in general. Yet, both are rarely combined. We present Time Shadows to precisely indicate a node's place in time, revealing associated temporal data and relations. We also introduce Time Beads.
Robert Morawa, Tom Horak, Ulrike Kister, Annett Mitschick, Raimund Dachselt   +4 more
openaire   +2 more sources

Visual-Semantic Graph Matching for Visual Grounding

Proceedings of the 28th ACM International Conference on Multimedia, 2020
Visual Grounding is the task of associating entities in a natural language sentence with objects in an image. In this paper, we formulate visual grounding as a graph matching problem to find node correspondences between a visual scene graph and a language scene graph.
Chenchen Jing, Yuwei Wu 0001, Mingtao Pei, Yao Hu, Yunde Jia, Qi Wu 0001   +5 more
openaire   +2 more sources

Visual summaries for graph collections

2013 IEEE Pacific Visualization Symposium (PacificVis), 2013
Graphs can be used to represent a variety of information, from molecular structures to biological pathways to computational workflows. With a growing volume of data represented as graphs, the problem of understanding and analyzing the variations in a collection of graphs is of increasing importance.
David Koop, Juliana Freire, Cláudio T. Silva   +2 more
openaire   +2 more sources

Visualization of state transition graphs

IEEE Symposium on Information Visualization, 2001. INFOVIS 2001., 2005
A new method for the visualization of state transition graphs is presented. Visual information is reduced by clustering nodes, forming a tree structure of related clusters. This structure is visualized in three dimensionswith concepts from cone trees and empahsis on symmetry.
Frank van Ham, Huub van de Wetering, Jarke J. van Wijk   +2 more
openaire   +2 more sources

The dynamic graph wall: visualizing evolving graphs with multiple visual metaphors

Journal of Visualization, 2016
Visualizing dynamic graphs is challenging due to the many data dimensions to be displayed such as graph vertices and edges with their attached weights or attributes and the additional time dimension. Moreover, edge directions with multiplicities and the graph topology are also important inherent features.
openaire   +1 more source