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检索条件"任意字段=32nd International Symposium on Graph Drawing and Network Visualization, GD 2024"
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32nd international symposium on graph drawing and network visualization, gd 2024
32nd International Symposium on Graph Drawing and Network Vi...
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32nd international symposium on graph drawing and network visualization, gd 2024
The proceedings contain 59 papers. The topics discussed include: how can biclique covers help in matching problems;how can algorithms help in protecting our privacy;the Euclidean MST-ratio for bi-colored lattices;hole...
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graph drawing Contest Report  32
Graph Drawing Contest Report
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Di Bartolomeo, Sara Klute, Fabian Mondal, Debajyoti Wulms, Jules TU Wien Austria Universitat Politècnica de Catalunya Barcelona Spain University of Saskatchewan Saskatoon Canada TU Eindhoven Netherlands
This report describes the 31st Annual graph drawing Contest, held in conjunction with the 32nd international symposium on graph drawing and network visualization (gd'24) at TU Wien, Vienna, Austria. The mission of... 详细信息
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NodeXL - A few Clicks to network Insights  32
NodeXL - A few Clicks to Network Insights
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Meier, Harald Ceni, Arber Social Media Research Foundation CA United States
network analysis and visualization are crucial for unraveling complex relationships across diverse fields, from social networks to biological systems. NodeXL is a versatile network analysis tool that supports a wide r... 详细信息
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graph Harvester  32
Graph Harvester
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Deynet, Julius Hegemann, Tim Kempf, Sebastian Wolff, Alexander Universität Würzburg Germany
We present graph Harvester, a website for extracting graphs from illustrations in scientific papers. For every graph that has been extracted, graph Harvester queries the graph database House of graphs. If the graph is... 详细信息
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yFiles - From Data to Meaningful visualizations  32
yFiles - From Data to Meaningful Visualizations
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Argyriou, Evmorfia Niedermann, Benjamin YWorks GmbH Tübingen Germany
graph visualizations help with complex data analysis but often require expert knowledge to apply and configure advanced algorithms. yFiles, a diagramming SDK, bridges this gap by enabling developers to create interact... 详细信息
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gdMetriX - A networkX Extension For graph drawing Metrics  32
GdMetriX - A NetworkX Extension For Graph Drawing Metrics
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Nöllenburg, Martin Röder, Sebastian Wallinger, Markus Algorithms and Complexity Group TU Wien Austria TU Wien Austria Chair for Efficient Algorithms Technical University of Munich Germany
networkX is a well-established Python library for network analysis. With gdMetriX, we aim to extend the functionality of networkX and provide common quality metrics used in the field of graph drawing, such as the numb... 详细信息
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Introducing Fairness in graph visualization  32
Introducing Fairness in Graph Visualization
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Hong, Seok-Hee Liotta, Giuseppe Montecchiani, Fabrizio Nöllenburg, Martin Piselli, Tommaso University of Sydney Australia University of Perugia Italy TU Wien Austria
Information visualization tools are an essential component of many data-driven decision-making systems that rely on human feedback. The aim of this paper is to propose a novel research direction focused on fair visual... 详细信息
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Approximating the Crossing Number of Dense graphs  32
Approximating the Crossing Number of Dense Graphs
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Pi, Oriol Solé Department of Mathematics Massachusetts Institute of Technology CambridgeMA United States
We present a deterministic n2+o(1)-time algorithm that approximates the crossing number of any graph G of order n up to an additive error of o(n4), as well as a randomized polynomial-time algorithm that constructs a d... 详细信息
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Determining Sugiyama Topology with Model Order  32
Determining Sugiyama Topology with Model Order
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Domrös, Sören Von Hanxleden, Reinhard Department of Computer Science Kiel University Germany
Traditional implementations of the Sugiyama algorithm optimize aesthetic criteria such as the number of backward edges, edge length, or edge crossings. If we, however, utilize the model order, as provided e. g. by a t... 详细信息
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Polygonally Anchored graph drawing  32
Polygonally Anchored Graph Drawing
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32nd international symposium on graph drawing and network visualization, gd 2024
作者: Chiu, Alvin Eldawy, Ahmed Goodrich, Michael T. University of California IrvineCA United States University of California RiversideCA United States
We investigate force-directed graph drawing techniques under the constraint that some nodes must be anchored to stay within a given polygonal region associated with it (i.e. some positional information is known). The ... 详细信息
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