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Solve Hard Graph Problems With Cypher 25

Blog post from Neo4j

Post Details
Company
Date Published
Author
Pierre Halftermeyer
Word Count
1,356
Language
English
Hacker News Points
-
Summary

Graphs are an effective method to model complex relationships, as demonstrated by Neo4j's Cypher query language in solving intricate problems like the Advent of Code (AoC) 2021 Day 12 puzzle. This specific challenge, which involves navigating a submarine cave system with constraints on visiting certain nodes, initially required complex graph refactoring and post-traversal filtering to solve, taking over two minutes to execute. However, with the introduction of Cypher 25's REPEATABLE ELEMENTS match mode and the allReduce function, the same problem can now be addressed with a simpler, more efficient query, reducing execution time to just 1.2 seconds. These new features allow for multiple traversals of nodes and relationships, streamlining processes and eliminating the need for extensive graph refactoring. This not only enhances performance but also simplifies the development of queries, making Cypher 25 a significant advancement for developers tackling complex graph-based problems in various applications, such as fraud detection and supply chain logistics.