Sentence examples for based on property graphs from inspiring English sources

3.1 we propose a graph data modelling based on property graphs and introduce a conceptual level for this purpose.

Section 2 introduces a graph data model based on (labelled) property graphs.

A similar approach for a weighted graph is not guaranteed to run in polynomial time; (ii) the obtained partition is highly suboptimal with an approximation factor of 1 2. Thus, we introduce a novel heuristic algorithm based on properties of fuzzy conflict graphs.

In learning about graphs, in particular of social networks, it becomes easy to get caught up in predicting which edges will form next between nodes (based on properties such as Strong Triadic Closure) and to forget that a social networks graph based off of social media does not necessarily have edges equivalent to deep friendships that develop over time in person.

The parameters used were based on graphs properties and not the actual human characteristics that are essential in building a proper social network.

We discuss search heuristics based on graph properties provided by the cutset constraint, and show the efficiency of the cutset constraint on benchmarks of the literature for pure minimum cutset problems, and on an application to log-based reconciliation problems where the global cutset constraint is mixed with other boolean constraints.

In this paper, we call graphs based on graph theory "network graphs".

The information functional we have presented in [28] is based on metrical properties of graphs, more precisely, on so-called j-spheres.

Topics will include network models based on random graphs and their properties; centrality and ranking on graphs; ranking from comparisons; social influence and homophily; experimentation and causal inference on networks; heavy-tailed statistical distributions.

In prior work, we have introduced diffusion state distance (DSD), a new metric based on a graph diffusion property, designed to capture more fine-grained notions of similarity from the neighborhood structure that we showed could improve the accuracy of network-based function-prediction algorithms.

The proposed outlier edge detection algorithms are based on the graph clustering property.