As Time Goes By: Reflections on Treewidth for Temporal Graphs

April 28, 2020 Β· Declared Dead Β· πŸ› Treewidth, Kernels, and Algorithms

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Authors Till Fluschnik, Hendrik Molter, Rolf Niedermeier, Malte Renken, Philipp Zschoche arXiv ID 2004.13491 Category cs.DS: Data Structures & Algorithms Cross-listed cs.DM Citations 18 Venue Treewidth, Kernels, and Algorithms Last Checked 3 months ago
Abstract
Treewidth is arguably the most important structural graph parameter leading to algorithmically beneficial graph decompositions. Triggered by a strongly growing interest in temporal networks (graphs where edge sets change over time), we discuss fresh algorithmic views on temporal tree decompositions and temporal treewidth. We review and explain some of the recent work together with some encountered pitfalls, and we point out challenges for future research.
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