Graph Databases: New Opportunities for Connected Data

By Ian S. Robinson, J. Webber, Emil Eifrém. 2013

566 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Graph of Thoughts: Solving Elaborate Problems with Large Language Models (2023, background): “Recently, there has been a growing interest in domains such as graph databases [53, 54, 11, 4, 5, 8], graph pattern matching [25, 18, 61, 10, 2, 1], graph streaming [26, 22, 3], and graph machine learning as well as graph neural networks [33, 73, 82, 81, 16, 33, 12, 6, 30, 56, 7].”
Foundations of Modern Query Languages for Graph Databases (2016, methodology): “This survey is based on Cypher/Neo4j v.3 and Gremlin/TinkerPop v.3.”