Graph Data Modeling with Neo4j: Patterns, Anti-Patterns, and Pragmatic Design
A practical guide to graph data modeling with Neo4j — labels, relationships, hyperedges, time-aware graphs (temporal properties, snapshot nodes, event-…
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A practical guide to graph data modeling with Neo4j — labels, relationships, hyperedges, time-aware graphs (temporal properties, snapshot nodes, event-…
A practical guide to running graph algorithms in production with Neo4j's Graph Data Science library — from PageRank and betweenness centrality to…