Proudly Releasing: Efficient Graph Algorithms in Neo4j

The Neo4j graph algorithms library is a new public release that provides a set of user-defined procedures for graph analysis on top of Neo4j. The library includes algorithms such as centrality, partitioning, path-finding, and graph projection, which can be used to gain insights from connected data. The algorithms are designed to be efficient in terms of resource utilization and are available in two variants: one that writes the results back to the graph and another that streams the results for further processing. The library is well-documented and includes examples, and it has been tested on various datasets with promising results. The authors invite users to try out the library, provide feedback, and contribute to its development.

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