Results 21 to 30 of about 258,219 (263)

Accelerating network layouts using graph neural networks

open access: yesNature Communications, 2023
Visualization of large complex networks is challenging with limitations for the network size and depicting specific structures. The authors propose a Graph Neural Network based algorithm with improved speed and the quality of graph layouts, which allows ...
Csaba Both   +3 more
doaj   +1 more source

Dynamic hypergraph embedding onto concentric hypersphere manifold intended for effective visualization

open access: yesApplied Network Science, 2023
Hypergraph is a graph structure that can efficiently express the relationship of multiple nodes and has attracted attention in recent years. As with normal graphs, the structure changes every moment, and it is an important research topic in graph mining ...
Shuta Ito, Takayasu Fushimi
doaj   +1 more source

Similarity-Driven Edge Bundling: Data-Oriented Clutter Reduction in Graphs Layouts

open access: yesAlgorithms, 2020
Graph visualization has been successfully applied in a wide range of problems and applications. Although different approaches are available to create visual representations, most of them suffer from clutter when faced with many nodes and/or edges.
Fabio Sikansi   +4 more
doaj   +1 more source

Experimental Identification of the Second‐Order Non‐Hermitian Skin Effect with Physics‐Graph‐Informed Machine Learning

open access: yesAdvanced Science, 2022
Topological phases of matter are conventionally characterized by the bulk‐boundary correspondence in Hermitian systems. The topological invariant of the bulk in d dimensions corresponds to the number of (d − 1)‐dimensional boundary states.
Ce Shang   +13 more
doaj   +1 more source

Uncertainty Visualization: Concepts, Methods, and Applications in Biological Data Visualization

open access: yesFrontiers in Bioinformatics, 2022
This paper provides an overview of uncertainty visualization in general, along with specific examples of applications in bioinformatics. Starting from a processing and interaction pipeline of visualization, components are discussed that are relevant for ...
Daniel Weiskopf
doaj   +1 more source

Visual Graph Mining

open access: yesCoRR, 2017
In this study, we formulate the concept of "mining maximal-size frequent subgraphs" in the challenging domain of visual data (images and videos). In general, visual knowledge can usually be modeled as attributed relational graphs (ARGs) with local attributes representing local parts and pairwise attributes describing the spatial relationship between ...
Quanshi Zhang   +2 more
openaire   +3 more sources

Algebraic Analysis of Multiple Social Networks with multiplex

open access: yesJournal of Statistical Software, 2020
multiplex is a computer program that provides algebraic tools for the analysis of multiple network structures within the R environment. Apart from the possibility to create and manipulate multivariate data representing multiplex, signed, and two-mode ...
J. Antonio Rivero Ostoic
doaj   +1 more source

Interactive Graph Data Integration System With Spatial-Oriented Visualization and Feedback-Driven Provenance

open access: yesIEEE Access, 2019
This paper proposes new techniques in a visualization-enabled graph data quality assessment and alignment system leveraging feedback-driven provenance with goal of improving scalability, reducing execution time, and increasing relevance.
Kuldeep Reddy
doaj   +1 more source

The State of the Art in Empirical User Evaluation of Graph Visualizations

open access: yesIEEE Access, 2021
While graph drawing focuses more on the aesthetic representation of node-link diagrams, graph visualization takes into account other visual metaphors making them useful for graph exploration tasks in information visualization and visual analytics ...
Michael Burch   +5 more
doaj   +1 more source

Interactive visualization of genealogical graphs [PDF]

open access: yesIEEE Symposium on Information Visualization, 2005. INFOVIS 2005., 2005
The general problem of visualizing "family trees", or genealogical graphs, in 2D, is considered. A graph theoretic analysis is given, which identifies why genealogical graphs can be difficult to draw. This motivates some novel graphical representations, including one based on a dual tree, a subgraph formed by the union of two trees.
Michael J. McGuffin, Ravin Balakrishnan
openaire   +1 more source

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