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.
Constructions from Dots and Lines
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
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.
fields
cs.DB 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.