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Alexander Christensen's recent study probably won't rewrite 40 years of history in the field of psychology, but he hopes that ...
Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.
Researchers built prototypes of graph databases in the 1970s but they remained primarily in the halls of academia until the rise of social media, which is built around the relationships between users.
The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.
Graph DBs are now being used for a rapidly increasing number of use cases. AI is considered by many as the "new electricity," something we use and rely on every day; graphs enable that.
The Graph is a decentralized protocol for indexing and querying blockchain data. But it's more than just a protocol: The Graph also has an implementation, which is open source and uses GraphQL.
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