A fast general methodology for information — theoretically optimal encodings of graphs

Xin He, Ming Yang Kao, Hsueh I. Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


We propose a fast methodology for encoding graphs with information-theoretically minimum numbers of bits. The methodology is applicable to general classes of graphs; this paper focuses on simple planar graphs. Specifically, a graph with property π is called a π-graph.If π satisfies certain properties, then an n-node π-graph G can be encoded by a binary string X such that (1) G and X can be obtained from each other in O(n log n) time, and (2) X has at most β(n)+o(β(n)) bits for any function β(n) = Ω{n) so that there are at most 2β(n)+o(β (n)) distinct n-node n-graphs. Examples of such n include all conjunctions of the following sets of properties: (1) G is a planar graph or a plane graph; (2) G is directed or undirected; (3) G is triangulated, triconnected, biconnected, merely connected, or not required to be connected; and (4) G has at most ℓ1 (respectively, ℓ2) distinct node (respectively, edge) labels. These examples are novel applications of small cycle separators of planar graphs and settle several problems that have been open since Tutte's census series were published in 1960's.

Original languageEnglish (US)
Title of host publicationAlgorithms - ESA 1999 - 7th Annual European Symposium, Proceedings
EditorsJaroslav Nešetřil
PublisherSpringer Verlag
Number of pages10
ISBN (Print)3540662510, 9783540662518
StatePublished - 1999
Event7th Annual European Symposium on Algorithms, ESA 1999 - Prague, Czech Republic
Duration: Jul 16 1999Jul 18 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th Annual European Symposium on Algorithms, ESA 1999
Country/TerritoryCzech Republic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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