Graph / $k$-degenerate graph (Bibtex)

P30: Enumerate well-ordered (strongly) $k$-generate with $n$ vertices
Input:
$n$: the number of vertices.
Output:
All well-ordered (strongly) $k$-degenerate graphs with $n$ vertices.
Complexity:
$O(nm+m^2)$ time per enumerated and printed graph.
Comment:
$m$ is the number of edges of printed graphs.
Reference:
[Bauer2010a] (Bibtex)
P31: Enumerate well-ordered (strongly) $k$-generate with $n$ vertices and $m$ edges
Input:
$n$: the number of vertices, $m$: the number of edges.
Output:
All well-ordered (strongly) $k$-degenerate graphs with $n$ vertices and $m$ edges.
Complexity:
$O(n^{3/2}m^2)$ time per enumerated and printed graph.
Comment:
Reference:
[Bauer2010a] (Bibtex)
P439: Enumeration of all maximal $k$-degenerate induced graph in a chordal graph
Input:
A chordal graph $G = (V, E)$ and an integer $k$.
Output:
All maximal $k$-degenerate induced graphs in $G$.
Complexity:
$O(m\cdot \omega(G)$ time per solution with polynomial space, where $\omega(G)$ is the size of a maximum clique.
Comment:
The number of maximum cliques in a chordal graph is linear in the size of the graph.
Reference:
[Conte2017] (Bibtex)
P506: Enumerate all maximal induced $k$-degenerate subgraphs in a graph
Input:
A graph $G=(V, E)$ and an integer $k$.
Output:
All maximal induced $k$-degenerate subgraphs in $G$.
Complexity:
$O(mn^{k+2})$ delay.
Comment:
Exponential space. Proximity search.
Reference:
[Conte2019] (Bibtex)
P507: Enumerate all maximal connected induced $k$-degenerate subgraphs in a graph
Input:
A graph $G=(V, E)$ and an integer $k$.
Output:
All maximal connected induced $k$-degenerate subgraphs in $G$.
Complexity:
$O(mn^{k+3})$ delay.
Comment:
Exponential space. Proximity search.
Reference:
[Conte2019] (Bibtex)
P508: All maximal $k$-degenerate edge subgraphs in a graph
Input:
A graph $G=(V, E)$ and an integer $k$.
Output:
All maximal $k$-degenerate edge subgraphs in $G$.
Complexity:
$O(\binom{n}{k-1}m^3)$ delay.
Comment:
Exponential space. Proximity search.
Reference:
[Conte2019] (Bibtex)