Apparatus and method for combined hypergraph based data representation and manipulation
A technology of graph data and graphics, applied in the field of devices and methods for data representation and operation based on combined hypergraphics, capable of solving problems such as consumption and multi-CPU time
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[0030] Graphs can provide powerful representations of knowledge and relationships in many domains. Graph databases store graph structures rather than tables of data. In general, graph databases can be applied in domains that need to store and retrieve complex topological information, such as neural networks, semantic networks, social networks, networks of related stories, scenes, routes, paths, roads, or geographic information systems (GIS). One of the main problems in graph databases is to retrieve membership graphs based on structural matching. Structural matching of graphs is a known NP-complete problem. In large graph databases, structural matching becomes very difficult because structural matching has to be performed against a large number of graphs in the database. Retrieval from dynamic topological graph databases is even harder than retrieval from pre-indexed attribute-based graph databases because there is no decomposition space and the space is always changing dyna...
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