Succinct representation of general unlabeled graphs
Discrete Applied Mathematics
Easy problems for tree-decomposable graphs
Journal of Algorithms
Monadic second-order evaluations on tree-decomposable graphs
Theoretical Computer Science - Special issue on selected papers of the International Workshop on Computing by Graph Transformation, Bordeaux, France, March 21–23, 1991
Short encodings of planar graphs and maps
Discrete Applied Mathematics
On the size of binary decision diagrams representing Boolean functions
Theoretical Computer Science
Upper bounds to the clique width of graphs
Discrete Applied Mathematics
Branching programs and binary decision diagrams: theory and applications
Branching programs and binary decision diagrams: theory and applications
NC-Algorithms for Graphs with Small Treewidth
WG '88 Proceedings of the 14th International Workshop on Graph-Theoretic Concepts in Computer Science
Parallel tree contraction and its application
SFCS '85 Proceedings of the 26th Annual Symposium on Foundations of Computer Science
Representation of graphs by OBDDs
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
A symbolic approach to the all-pairs shortest-paths problem
WG'04 Proceedings of the 30th international conference on Graph-Theoretic Concepts in Computer Science
Representation of graphs by OBDDs
Discrete Applied Mathematics
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We study the size of OBDDs (ordered binary decision diagrams) for representing the adjacency function fG of a graph G on n vertices. Our results are as follows: -) For graphs of bounded tree-width there is an OBDD of size O(logn) for fG that uses encodings of size O(logn) for the vertices; -) For graphs of bounded clique-width there is an OBDD of size O(n) for fG that uses encodings of size O(n) for the vertices; -) For graphs of bounded clique-width such that there is a reduced term for G (to be defined below) that is balanced with depth O(logn) there is an OBDD of size O(n) for fG that uses encodings of size O(logn) for the vertices; -) For cographs, i.e. graphs of clique-width at most 2, there is an OBDD of size O(n) for fG that uses encodings of size O(logn) for the vertices. This last result improves a recent result by Nunkesser and Woelfel [14].