AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.
A practical comparison of GraphQL and SPARQL as query layers over knowledge graphs — data model differences, transitive closure gaps, federation…
Multimodal knowledge graphs add images, audio, 3D and spatiotemporal structure: construction, MLLM-guided completion, multimodal GraphRAG, and benchmarks.
Graph query languages are the fastest-growing — and thinnest — research cell: the 2026 GQL wave, NL2GQL, expressive power, query layer as product surface.
Open-source intelligence has always been a graph problem: entities, relationships, provenance. The 2026 shift is that generative and agentic AI can do the investigation part too. This article reviews the emerging OSINT+graph research: entity resolution, temporal threat intelligence, agentic collection, and the hallucination risk that makes graphs essential.
How the Crystallis framework uses progressive nucleation and semantic annealing to generate coordinated multi-view visualisations from natural language…
How Neo4j's new MCP for Aura brings hosted Model Context Protocol servers to every graph database instance — enabling AI agents to query, explore, and…