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An Adjacency Labeling Scheme based on a Decomposition of Trees into Caterpillars
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Avah Banerjee, Missouri University of Science and Technology
Abstract

In this paper we look at the problem of adjacency labeling of graphs. Given a family of undirected graphs the problem is to determine an encoding-decoding scheme for each member of the family such that we can decode the adjacency information of any pair of vertices only from their encoded labels. Further, we want the length of each label to be short (logarithmic in n, the number of vertices) and the encoding-decoding scheme to be computationally efficient. We propose a simple tree-decomposition based encoding scheme and use it give an adjacency labeling of size O(klog klog n) -bits. Here k is the clique-width of the graph family. We also extend the result to a certain family of k-probe graphs.

Department(s)
Computer Science
Comments
Defense Technical Information Center, Grant FA8075-14-D-0002/0007
Keywords and Phrases
  • Clique-widths,
  • Hereditary classes,
  • Implicit representation
International Standard Book Number (ISBN)
978-303106677-1
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Springer, All rights reserved.
Publication Date
1-1-2022
Publication Date
01 Jan 2022
Citation Information
Avah Banerjee. "An Adjacency Labeling Scheme based on a Decomposition of Trees into Caterpillars" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13270 LNCS (2022) p. 114 - 127 ISSN: 1611-3349; 0302-9743
Available at: http://works.bepress.com/avah-banerjee/11/