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Accelerating network layouts using graph neural networks
Nature 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
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Similarity-Driven Edge Bundling: Data-Oriented Clutter Reduction in Graphs Layouts
Algorithms, 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
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Advanced 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
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Uncertainty Visualization: Concepts, Methods, and Applications in Biological Data Visualization
Frontiers 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
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A survey of multi-faceted graph visualization
, 2022 S.1-20Graph visualization is an important field in information visualization that is centered on the graphical display of graph-structured data.
Schulz, Hans-Jörg +2 more
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On labeling in graph visualization [PDF]
Information Sciences, 2007 When visualizing graphs, it is essential to communicate the meaning of each graph object via text or graphical labels. Automatic placement of labels in a graph is an NP-Hard problem, for which efficient heuristic solutions have been recently developed.
Ugur Dogrusöz +3 more
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Algebraic Analysis of Multiple Social Networks with multiplex
Journal 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
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CoRR, 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
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A Hybrid Rendering Framework for the Real-time Manipulation of Volume and Surface Models [PDF]
, 2009 Stemmed from classical computer graphics research, volume visualization has been steadily growing into an important research field in the last 2 decades. This paper presents a hybrid rendering framework which integrates volume and surface models for real-
Xu, Zhijie, Xu, Qian
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IEEE 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
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