Stability in circular arc graphs
Journal of Algorithms
Chromatic number of prime distance graphs
2nd Twente workshop on Graphs and combinatorial optimization
Simple linear time recognition of unit interval graphs
Information Processing Letters
Distributed loop computer networks: a survey
Journal of Parallel and Distributed Computing
A linear-time algorithm for proper interval graph recognition
Information Processing Letters
The chromatic numbers of distance graphs
Proceedings of an international symposium on Graphs and combinatorics
Circular chromatic numbers and fractional chromatic numbers of distance graphs
European Journal of Combinatorics
Coloring of integer distance graphs
Discrete Mathematics
A short proof that “proper = unit”
Discrete Mathematics - Special issue on partial ordered sets
Linear-Time Representation Algorithms for Proper Circular-Arc Graphs and Proper Interval Graphs
SIAM Journal on Computing
A simple 3-sweep LBFS algorithm for the recognition of unit interval graphs
Discrete Applied Mathematics
Certifying LexBFS Recognition Algorithms for Proper Interval Graphs and Proper Interval Bigraphs
SIAM Journal on Discrete Mathematics
Graph Theory
Certifying algorithms for recognizing proper circular-arc graphs and unit circular-arc graphs
WG'06 Proceedings of the 32nd international conference on Graph-Theoretic Concepts in Computer Science
Computing square roots of trivially perfect and threshold graphs
Discrete Applied Mathematics
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In 1988, Golumbic and Hammer characterized the powers of cycles, relating them to circular arc graphs. We extend their results and propose several further structural characterizations for both powers of cycles and powers of paths. The characterizations lead to linear-time recognition algorithms of these classes of graphs. Furthermore, as a generalization of powers of cycles, powers of paths, and even of the well-known circulant graphs, we consider distance graphs. While the colorings of these graphs have been intensively studied, the recognition problem has been so far neglected. We propose polynomial-time recognition algorithms for these graphs under additional restrictions.