Sentence examples for graph extracted from from inspiring English sources
A navigation approach for travel between distant landmarks is developed, using estimates of the Relative Neighborhood Graph extracted from the qualitative map in order to generate a sequence of landmark objectives based on proximity.
To address this efficiency issue, we partition graph G based on its summary graph extracted from the Delaunay triangulation of a set of selected vertices.
By integrating the semantic document keyterm graph extracted from the knowledge graph with two widely used phrase features, phrase frequency and the first occurrence position, our method improves the performance of keyphrase extraction a lot.
The entire graph extracted from the PubMed sample has one major connected component comprising 88 477 (38%) of the total of 232 760 nodes.
The graph extracted from the Enron email database consists of 70,578 nodes and 312,620 edges (corresponding to emails), while Facebook has 250,000 nodes and 3,239,137 edges (corresponding to postings).
The other related works include (but not limited to), ALIBABA [ 8] which represents the relations among cells, diseases, drugs, proteins, species and tissues as a inter-connected graph extracted from PubMed.
In the current study, we present a new approach for decoding brain states based on the connectivity graphs extracted from functional magnetic resonance imaging (fMRI) data.
In this paper, we design and execute an experiment on a time series of attributed graphs extracted from the Enron email corpus which demonstrates the benefit of fusion.
Time course of publications was represented by Doppler graphs extracted from the PubMed collection which spanned the years 1913 2008 [33].
The reaction graphs of the cell cycle models are plagued by a common problem: these models originate from ODE models and the reaction graphs extracted from their encoding in SBML format does not correctly represent the structure of these models.
One of the main contributions of our work is that we model intra-group communications by scaling down real interaction graphs extracted from online Social Networks (SN) such as Enron and Facebook.
