What are temporal knowledge graphs?

Temporal knowledge graphs are a type of knowledge graphs that consider the temporal aspect of information. In such graphs, not only entities and relationships between them are recorded, but also timestamps indicating when these relationships were relevant or changed.

This allows modeling dynamic systems, tracking the evolution of knowledge, and making temporal queries, such as "what relationships between objects existed during a specific period".

The application of temporal knowledge graphs is relevant in fields where the history of changes is important, such as bioinformatics, financial analysis, event monitoring, and social networks.