DocumentCode
3427599
Title
Efficient Coding of Labelled Graphs
Author
Almudevar, Anthony
Author_Institution
Univ. of Rochester, Rochester
fYear
2007
fDate
2-6 Sept. 2007
Firstpage
523
Lastpage
528
Abstract
The efficient coding of directed graphs can be of importance in data compression algorithms, as well as in graphical modelling applications in artificial intelligence and biological network reconstruction. One type of code commonly used involves the separate coding of node parent sets, and can be shown to have an asymptotic code length proportional to the number of edges. We show the existence of an alternative code, based on graph blocks, which can be shown to be of uniformly shorter length under asymptotically invariant conditions.
Keywords
directed graphs; encoding; alternative code; directed graphs; efficient coding; labelled graphs; Artificial intelligence; Biological information theory; Biological system modeling; Computational biology; Context modeling; Data compression; Graphical models; Lakes; Niobium; Supervised learning; Minimum description length; graphical models;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2007. ITW '07. IEEE
Conference_Location
Tahoe City, CA
Print_ISBN
1-4244-1564-0
Electronic_ISBN
1-4244-1564-0
Type
conf
DOI
10.1109/ITW.2007.4313129
Filename
4313129
Link To Document