Journal of Combinatorial Theory Series B
Graph classes: a survey
On graph powers for leaf-labeled trees
Journal of Algorithms
Error compensation in leaf root problems
ISAAC'04 Proceedings of the 15th international conference on Algorithms and Computation
COCOA 2008 Proceedings of the 2nd international conference on Combinatorial Optimization and Applications
On k- Versus (k + 1)-Leaf Powers
COCOA 2008 Proceedings of the 2nd international conference on Combinatorial Optimization and Applications
Graph Theory, Computational Intelligence and Thought
The clique-width of tree-power and leaf-power graphs
WG'07 Proceedings of the 33rd international conference on Graph-theoretic concepts in computer science
WG'07 Proceedings of the 33rd international conference on Graph-theoretic concepts in computer science
Ptolemaic graphs and interval graphs are leaf powers
LATIN'08 Proceedings of the 8th Latin American conference on Theoretical informatics
Theoretical Computer Science
Polynomial kernels for 3-leaf power graph modification problems
Discrete Applied Mathematics
On relaxing the constraints in pairwise compatibility graphs
WALCOM'12 Proceedings of the 6th international conference on Algorithms and computation
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
Exploring pairwise compatibility graphs
Theoretical Computer Science
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A graph G is the k-leaf power of a tree T if its vertices are leaves of T such that two vertices are adjacent in G if and only if their distance in T is at most k. Then T is the k-leaf root of G. This notion was introduced and studied by Nishimura, Ragde, and Thilikos motivated by the search for underlying phylogenetic trees. Their results imply a O(n^3) time recognition algorithm for 3-leaf powers. Later, Dom, Guo, Huffner, and Niedermeier characterized 3-leaf powers as the (bull,@?dart,@?gem)-free chordal graphs. We show that a connected graph is a 3-leaf power if and only if it results from substituting cliques into the vertices of a tree. This characterization is much simpler than the previous characterizations via critical cliques and forbidden induced subgraphs and also leads to linear time recognition of these graphs.