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Constructions from Dots and Lines
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A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The dots and lines of a graph can be organized into intricate arrangements. The ability for a graph to denote objects and their relationships to one another allow for a surprisingly large number of things to be modeled as a graph. From the dependencies that link software packages to the wood beams that provide the framing to a house, most anything has a corresponding graph representation. However, just because it is possible to represent something as a graph does not necessarily mean that its graph representation will be useful. If a modeler can leverage the plethora of tools and algorithms that store and process graphs, then such a mapping is worthwhile. This article explores the world of graphs in computing and exposes situations in which graphical models are beneficial.
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Cited by 1 Pith paper
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MV4PG: Materialized Views for Property Graphs
MV4PG proposes templated incremental maintenance for property graph views with variable-length edges, reporting up to 28.71x workload speedup on TuGraph but leaving a correctness fix to future work.
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