Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In graph theory, a cograph, or complement-reducible graph, or P4-free graph, is a graph that can be generated from the single-vertex graph K1 by complementation and disjoint union. That is, the family of cographs is the smallest class of graphs that includes K1 and is closed under complementation and disjoint union.
Computational properties, Definition & Overview
Explore the main themes, entities and connections around Cograph. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
graph cographs every graphs cotree induced union clique subgraph may vertices disjoint labeled one two time also maximum perfect vertex
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cograph | is a | graph which does not contain the path P4 on 4 vertices | 0.90 | text |
| Cograph | is a | graph all of whose induced subgraphs have the property that any maximal clique intersects any maximal independent set in a single vertex.A cograph is a graph in which every nont… | 0.90 | text |
| Cograph | is a | perfect order which further implies that max clique finding and min colouring can be found in linear time with any greedy colouring and without the need for a cotree decompositi… | 0.90 | text |
| finding a maximum clique that are hard on more general graph classes.Special types of cograph include complete graphs | instance of | They have a simple structural decomposition involving disjoint union and complement graph operations that can be represented concisely by a labeled tree and used algorithmically… | 0.80 | text |
| complete bipartite graphs | instance of | They have a simple structural decomposition involving disjoint union and complement graph operations that can be represented concisely by a labeled tree and used algorithmically… | 0.80 | text |
| cluster graphs | instance of | They have a simple structural decomposition involving disjoint union and complement graph operations that can be represented concisely by a labeled tree and used algorithmically… | 0.80 | text |
| and threshold graphs | instance of | They have a simple structural decomposition involving disjoint union and complement graph operations that can be represented concisely by a labeled tree and used algorithmically… | 0.80 | text |
| Cograph | related to Computational properties | Cographs | 0.60 | section |
| Cograph | related to Computational properties | LexBFS | 0.60 | section |
| Cograph | related to Computational properties | Once | 0.60 | section |
| Cograph | related to Computational properties | For | 0.60 | section |
| Cograph | related to Computational properties | Thus | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.