Sentence examples for relationship edge from inspiring English sources

Exact(2)

"She is the best banker I have worked with since Quattrone, and while Frank has the tech relationship edge, Ruth has the creative edge," wrote Ms. Meeker in her 1999 performance review, released in 2003 as part of a regulatory inquiry.

Based on existing annotation of modules associated with vesicle transport, any relationship (edge) between two members of the same module is considered "true", all other relationships "false".

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The set of new relationship edges, R, will connect individuals in sets H and G. Specifically, the edges stipulate that i and i0 are the parents of full-siblings i1, i2, i3, and i4 by including the edges: i0 → i1, i0 → i2, i0 → i3, i0 → i4, i → i1, i → i2, i → i3, and i → i4.

entities (nodes), properties (attributes), labels (types), relationships (edges) having a direction, start node, and end node, identifiers.

Also in this case, the most important relationships (edges) between the nodes of the network are the ones between public research institutions, while small enterprises give small to no contribution to the geodesics.

As shown in Figure 5, these companies are connected by 2,193 relationships (edges), which include 1,385 executive-level individuals (blue nodes) and 286 financing organizations (green nodes) in the Austin growth level.

Here we will use a (labelled) property graph model whose basic constructs include: entities (nodes), properties (attributes), labels (types), relationships (edges) having a direction, start node, and end node, identifiers.

As structure, the OSN are usually perceived as a set of nodes represented by its users, and a set of directed (e.g., "following" activity on Facebook) or undirected (e.g., friendship relationships) edges connecting the various pairs of nodes [2].

Conditional independence graphs show relationships (edges) between traits (vertices) that remain when underlying, shared correlations with other traits have been removed [34].

CLR establishes relationships (edges in a graph) between two genes when the expression of one gene has significant mutual information (i.e. highly similar or dissimilar) with the expression of another gene.

Ontologies are networks of controlled vocabulary terms (nodes) and relationships (edges) between the terms.

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