A graph is an interval graph if it has an intersection model consisting of intervals on a straight line.
Even though the weighted clique and colourability problems are polynomial time solvable on both interval and co-interval graphs, the weighted clique partitioning problem [PCliqW] is NP-hard for interval graphs [1484] .
[453]
The map shows the inclusions between the current class and a fixed set of landmark classes. Minimal/maximal is with respect to the contents of ISGCI. Only references for direct inclusions are given. Where no reference is given, check equivalent classes or use the Java application. To check relations other than inclusion (e.g. disjointness) use the Java application, as well.
| 3-Colourability
[?]
|
Linear | [+]Details | |||||
| Clique
[?]
|
Polynomial | [+]Details | |||||
| Clique cover
[?]
|
Linear | [+]Details | |||||
| Cliquewidth
[?]
Whether the cliquewidth of the graphs in this class is bounded by a
constant k
.
The cliquewidth of a graph is the number of different labels that is needed to construct the graph using the following operations:
|
Unbounded | [+]Details | |||||
| Cliquewidth expression
[?]
|
Unbounded or NP-complete | [+]Details | |||||
| Colourability
[?]
|
Linear | [+]Details | |||||
| Cutwidth
[?]
|
Unknown to ISGCI | [+]Details | |||||
| Domination
[?]
|
Linear | [+]Details | |||||
| Feedback vertex set
[?]
|
Linear | [+]Details | |||||
| Hamiltonian cycle
[?]
|
Linear | [+]Details | |||||
| Hamiltonian path
[?]
|
Polynomial | [+]Details | |||||
| Independent set
[?]
|
Linear | [+]Details | |||||
| Recognition
[?]
|
Linear | [+]Details | |||||
| Treewidth
[?]
|
Polynomial | [+]Details | |||||
| Weighted clique
[?]
|
Polynomial | [+]Details | |||||
| Weighted feedback vertex set
[?]
|
Linear | [+]Details | |||||
| Weighted independent set
[?]
|
Linear | [+]Details |