Sentence examples for label the edges from inspiring English sources

We label the edges as common edges or specific to a particular condition in graph G = (V,  E) to represent the learned networks under the two conditions.

It is easy to see that H is the line graph of G. Conversely, if H = L GG) is a line graph then one can assign distinct labels to the nodes of the corresponding root graph G and use these labels to label the edges of G and, hence, the nodes of H.

Given E P (x ) =〈 x2, x1),(x3, x2),…, x p, x p −1)〉 for some node x in a strain-tree topology, we label the edges in E P (x ) by the numbers 1,2,…, p such that ℓ((x s, x s −1))= s−2, for 2≤ s≤ p. For example, for, where x2 is the node in the strain tree in Figure 4a, we have the labels: ℓ((x3, x2))=1, ℓ((x5, x3))=2 and ℓ((r, x5))=3.

For K3, we label the edge v1v2, v2v3 and v1v3 with 3,2 and 1, respectively, see Figure1.

Step 2: Label the edge UEs in victim cell based on following criteria: gamma_{k}(f,t leqgamma_{text{th}} (3).

The system implements edge detection in real time on a digitized video stream and produces a corresponding video stream labeling the edges.

Note that only 35 columns are retained in the condensed version of M (the ones labeling the edges).

We even obtain the same graphical representation by drawing the directed graphs of the relations ℛ S and ℛ C with complexes as nodes and reactions as edges (labeling the edges with the rate ℙ), which is the most common depiction of CRNs.

First, label node 1 with the first m−d indices and label the d edges incident to node 1 in an arbitrary order with the next d indices.

We will label the positively oriented edges as E1,..., E e.

The patient ID labels the corresponding edges, which are further colored by the number of patients.