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We hence believe that contextual orderings can enable a more fine-grained analysis of graph collections, by allowing the user to focus on individual graphs ...
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Figure 1: State-of-the art reordering techniques either compute a single simultaneous ordering for all graphs in a collection or.
Sep 24, 2021 · We propose a collection-aware approach to avoid this loss of information and apply it to two popular heuristic methods: leaf order and barycenter.
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Original language, English. Title of host publication, 2024 IEEE 17th Pacific Visualization Conference (PacificVis). Pages, 182-191.
Apr 23, 2024 · Contextual Matrix Orderings for Graph Collections. Nathan Van Beusekom 1. ,. Wouter Meulemans 1. ,. Bettina Speckmann 1.
Contextual Matrix Orderings for Graph Collections. Conference Paper. Apr 2024. Nathan van Beusekom · Wouter Meulemans · Bettina Speckmann · View.
Article "Contextual Matrix Orderings for Graph Collections" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and ...
Jan 1, 2022 · To visualize such graph collections, we need a <italic>single</italic> ordering that works well for all matrices <italic>simultaneously</italic> ...
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We introduce focal points for characterizing, comparing, and or- ganizing collections of complex and heterogeneous data and ap-.