Sentence examples for graphs that we from inspiring English sources

We investigated a class of graphs that we call quasi-hierarchical, which can be effectively visualized using a spanning tree as the backbone of a layout algorithm.

Although we could lay out a tree in only two dimensions, most of the quasi-hierarchical graphs that we use as examples are nonplanar.

The first model of random graphs that we used to generate an instance of the LP graph was the preferential-attachment model which is scale-free and, according to some studies, can be used to model the Internet topology at the level of Autonomous System (AS) (Bu and Towsley 2002).

This week, however, there was such a swath of epic graphs that we can't help but share a few.

After about a week, the lab sent us back pages of charts and graphs that we did our best to process and summarize into language that someone would actually want to read.

Figure 2 illustrates the eight isomorphism classes that exist for the specific kind of tripartite graphs that we consider.

Let be a set of reads and T0 be the set of occurring k-mers (nodes of the de Brujin graph) that we want to store.

To generate graphs that have such properties, we use the Watts-Strogatz model [47].

More specifically, we utilized graphs that follow a Bernoulli process in the generation of edges and are known as Bernoulli random graphs, as well as regular graphs.

We simulate graphs that might occur from the detection of identity by state sharing.

In terms of the graph that means that we add edges of infinite weight between the source node s and all nodes in R1, and edges of infinite weight between the nodes of R2 and t.