This Week in Neo4j – Content-Based Recommendations using Knowledge Graphs, Augment Intelligence with Graph Power, Graph Algorithms in Practice

This week, the Neo4j community showcased various projects and initiatives, including building a content recommendation system using knowledge graphs, augmenting business intelligence with graph power, and analyzing password hashes from two different domains using BloodHound. The community also celebrated Global Graph Celebration Day, which was organized by numerous individuals and communities worldwide. The featured community members were recognized for their efforts in driving the global initiative. Additionally, there were releases of new Neo4j drivers, foreign data wrappers, and updates to the APOC library, as well as a case study on using BloodHound for password analysis.

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