Your English writing platform
Discover LudwigSuggestions(1)
Exact(8)
Given a graph G, the task is to find the densest subgraph.
Densest subgraph problem is a major research topic in graph analysis.
Even though densest subgraph problem (DSP) admits polynomial time complexity, it becomes NP-hard when where is a size constraint.
[19] first introduces densest subgraph problem for directed graphs and gives an (O log (n)))-approximation algorithm.
[15] first gives polynomial time algorithm O(mn) for densest subgraph problem, by transforming it into min-cut instance and using binary search to get the optimal density.
There are three variants: (a) k-densest subgraph problem (DkS): It requires subgraph (|S|=k); (b) densest subgraph at least k(DalkS): It requires subgraph (|S|ge k); and (c) denest subgraph at most k(DamkS): It requires subgraph (|S|le k).
Similar(52)
Rangapuram et al. [30] studies the team formation problem in the densest subgraphs.
Orthogonal to our work, many works extended the definition of clique to other dense subgraph structures (e.g., maximal cliques in an uncertain graph [42], cross-graph quasi-cliques [21], k-truss [20], and densest-subgraph [35]), and studied their applications.
Average degree is one of most frequent used measurements in dense subgraph mining.
So, using dense subgraph or clique as protein complex model has its own limits.
In these methods, a protein complex is predicted as a dense subgraph of protein interactions.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com