Month: August 2025

Watch this talk on using a graph query engine to investigate data across multiple graph databases
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KGC 2024: Composite Queries for Multi-Domain Knowledge

Please enjoy this talk “Composite Queries for Multidomain Knowledge: Span Multiple Graphs without Blending Data,” from the Knowledge Graph Conference 2024 given by David Hughes,  Director of Engineering & AI at Graphable (now at Enterprise Knowledge).    Talk description: In the rapidly evolving landscape of data management, the ability to effectively handle diverse concerns such…

Read all the news in the knowledge graph industry in this fortnightly roundup for August 8th, 2025

Fortnightly Knowledge Graph News Roundup [8 August 2025]

Welcome back to another fortnightly news roundup from around the knowledge graph industry for the week ending on August 8th, 2025.  Articles, Editorial, & Resources GraphGeeks in Discussion: Exploring GraphRAG with Neo4j’s Tomaž Bratanič [GraphGeeks] When AI Gets Entities Wrong & What It Costs You [Senzing blog] How SLMs & knowledge graphs supercharge AI [TechRadar]…

Fill out this community survey on the Knowledge Graph Conference 2025 & share your ideas for next year

Share Your Thoughts & Ideas in the KGC Community Survey

Thank you for making the Knowledge Graph Conference 2025 the best edition ever!  Your feedback on the content and experience of KGC is what makes each year better than the last. This summer, we want to take a pulse on some of your ideas for KGC 2026 as we brainstorm about expanding the scope of…

Watch this talk on massive-scale graph analytics using novel graph algorithms in the Arachne framework Watch this talk on massive-scale graph analytics using novel graph algorithms in the Arachne framework
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KGC 2024 Session: Arachne: An Open Source Framework for Graph Analytics

Please enjoy this talk “Arachne: An Open Source Framework for Graph Analytics,” from the Knowledge Graph Conference 2024 given by David A. Bader, PhD, Distinguished Professor of Data Science at the New Jersey Institute of Technology (NJIT).      Talk description: A real-world challenge in data science is to develop interactive methods for quickly analyzing…

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