"In spite of the extensive literature on graph databases (GDBs), temporal GDBs have not received too much attention so far. Tempo ral GBDs can capture, for example, the evolution of social networks
across time, a relevant topic in data analysis nowadays. We propose a data model and query language (denoted TEG-QL) for temporal GDBs, based on the notion of attribute graphs. This allows a straightforward translation to Neo4J, a well-known GBD."
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