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AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.

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July 8, 2026· ~11 min read

Graph Neural Networks: Architectures, Training, and Production Deployment

From GCNs to Graph Transformers — a practical guide to GNN architectures, training pipelines with PyTorch Geometric (node classification, mini-batch…

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July 8, 2026· ~15 min read

Graph-Powered OSINT: Why Knowledge Graphs Are the Missing Layer in Open Source Intelligence

Open Source Intelligence generates more data than any analyst can process. Knowledge graphs — not document silos — are the architecture that makes OSINT…

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July 8, 2026· ~8 min read

Knowledge Graph Construction from Unstructured Data: A Practical Pipeline

How to build production knowledge graphs from raw text using LLMs, NLP pipelines, and Neo4j — covering chunking strategies, schema-guided entity…

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July 8, 2026· ~5 min read

TigerGraph GraphRAG v2.0: Agentic Chat, MCP Tools, and Structure-Aware Chunking

TigerGraph released GraphRAG v2.0 with an agentic chat engine that plans and runs its own retrieval, external MCP tool integration, and structure-aware…

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July 7, 2026· ~13 min read

Cypher Query Optimization Techniques: From Slow to Sub-Second

Practical Cypher optimization techniques — query execution plans, indexing strategies, pattern tuning, subquery design, production monitoring, and APOC…

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July 7, 2026· ~14 min read

Cypher Query Optimization: Performance Tuning for Neo4j in Production

A practical guide to Cypher query optimisation — reading query plans, choosing indexes, avoiding Eager operations, subquery predicates with EXISTS, plan…

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