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WIA-DATA-015Native support for graph data structures with nodes and relationships
Powerful query languages like Cypher and Gremlin for graph traversal
Built-in algorithms for pathfinding, centrality, and community detection
Build semantic networks and knowledge representation systems
Interactive visualization tools for exploring graph data
Efficient multi-hop queries and relationship navigation
Graph neural networks and machine learning on graph data
Build sophisticated recommendation engines using graph relationships
Transaction support for data integrity and consistency