Sentence examples for graph paths from inspiring English sources

A semantic association is a set of relationships between two entities in a knowledge base represented as graph paths consisting of a sequence of links.

In particular, some graph paths may not be meaningful at all when mapped to a chain of ORFs, while other graph paths correspond to signaling pathways.

In a weighted graph, paths are listed in the order of their weight.

For cliques of size 10, only 85 out of 150 new GO terms are more specific and enrich the annotations based on their GO graph paths.

Additionally, by analyzing the graph paths taken by the reads and read pairs and applying a coverage cutoff to determine which path to follow or to remove [ 18, 21], the problem posed by sequencing errors from variations, which can make the graph complex by introducing branching points are easily resolved [ 21].

Our results indicate that the layered graph path reformulation model is still quite good when the arc weights are reasonably small.

Briefly, when comparing two terms in an ontology, two main approaches are generally distinguished, the edge-based, which counts the edges in the graph path between two terms [14] [18], and the node-based, which looks at the properties of the terms, their ancestors and descendants [19] [25].

However, in such a graph, path following would be a non-linear operation.

For this, we use the same extension procedure as the head/tail correction, and adapt the graph path edge accordingly.

Some existing methods apply multidimensional scaling to the distance matrix defined by the graph path distance [ 18].

A simple approach for measuring semantic similarity can be the calculation of the distance between two terms in the graph path underlying the ontology.