Fortnightly Knowledge Graph News Roundup [5 September 2025]
Welcome back to another fortnightly news roundup from around the knowledge graph industry for the week ending on September 5th, 2025.
KG Community Discussions
Ora Lassila lays out “Ora’s Rule of Knowledge Graph Implementation” on the RDF vs. LPG debate
Ashleigh Faith has a new video on explaining what a vector is (and why it matters) and asks what strategies you use to explain vectors to stakeholders
Tony Seale describes the challenge behind the challenge of distributed data integration
New KG Tech & Solutions
Neo4j Launches Infinigraph, a Breakthrough Architecture to Unify Transactional & Operational Workloads
G.V() 3.38.90 Release Notes: FalkorDB support, improved graph styles
How GraphDB 11 & 11.1 Let Organizations Unlock AI-powered Knowledge Graphs [Graphwise blog]
Call for Papers, Presentations & More
Call for Speakers: Google DevFest Atlanta | Atlanta, U.S. | Submission deadline: 30 September
Call for Participants: KnowHax hackathon | Virtual/Online | Sign-up deadline: 31 October
Articles, Editorial, & Hot Takes
Industrial AI Needs Context Engineers, NOT Prompt Engineers [ARC Advisory Group]
Insurance Fraud Threats Only Entity Resolution Can Uncover [Senzing blog]
The Weekly Edge: Neptune on R8g, Graph Learning, & More [gdotv blog]
Graph databases are exploding, thanks to the AI boom – here’s why [ZDNET]
The 7 Graphs to Model Your Data Like Your Business [Neo4j blog]
On TRAC(k) Podcast: Accelerating Network Effects in the Metcalfe Convergence Phase (Spotify | Apple Podcasts | YouTube | Amazon Music) [OriginTrail]
3 shifts redefining the Google Knowledge Graph and its AI future [SearchEngineLand]
Research & Papers
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths in Directed Graphs [arXiv]
An Artificial Intelligence‐Enabled Group Cognitive Diagnosis Approach with the Goal of Promoting Online Collaborative Learning [Journal of Assisted Learning]
SciToolAgent: a knowledge-graph-driven scientific agent for multitool integration [Nature Computational Science]
Digital twins as self-models for intelligent structures [Scientific Reports]
Knowledge Graph Events
NeSy: Conference on Neurosymbolic Learning & Reasoning | Santa Cruz, U.S. | 8-10 September
Webinar: From Tensors to Triplets: Redefining Deep Learning with Knowledge Graph-Based Agents | Virtual/Online | 9 September
ENDORSE: The European Data Conference on Reference Data & Semantics | Brussels | 8-9 October
Google DevFest Atlanta | Atlanta, U.S. | 31 October
ISWC: International Semantic Web Conference | Nara, Japan | 2-6 November
KnowHax: Hackathon for AI | Virtual/Online | 7-23 November
TBC: Taxonomy Boot Camp (co-located with KMWorld) | Washington, D.C. | 17-18 November
K-CAP: International Conference on Knowledge Capture – Dayton, U.S. – 10-12 December
Tech Deep Dive & Applications
Talk to Your Graph on top of Nature FIRST Biodiversity Knowledge Graph [Graphwise blog]
Hypermode Live: Agentic Workflows for GraphRAG with William Lyon & Amy Hodler
Evaluating Graph Retrieval in MCP Agentic Systems [Neo4j blog]
The Power of Model Context Protocol: Using Natural Language to Query GraphDB [Graphwise blog]
Implementing Neo4j GraphRAG Retrievers as MCP Server by Tomaž Bratanič [Medium]
Startup & Corporate News
Oxford PharmaGenesis & OriginTrail to introduce collaborative, AI-ready medical knowledge ecosystem driving the next generation of agentic science [OriginTrail blog]
Ardoq Launches Enterprise AI Management Solution to Help Organizations Govern & De-Risk AI Adoption [PR Newswire]
Knowledge Graph Jobs
Staff Taxonomist | On-site or Remote, New York | Etsy
Sr AI/ML Scientist, Gen AI & Knowledge Graphs | On-site, Palo Alto, U.S. | SAP
Knowledge Graph Engineer | Remote, U.S. | Domyn
Knowledge Graph Engineer | Remote, India | Domyn
Sr ML Engineer, Knowledge Graph | On-site, Seattle | TikTok
ML Engineer, Knowledge Graph | On-site, San Jose | TikTok
Algorithm Engineer, Knowledge Graph | On-site, Singapore | TikTok
Senior AI Engineer, Applied AI | On-site, Multiple Locations | Balyasny
Senior Full-Stack Engineer, Applied AI | On-site, Multiple Locations | Balyasny
Machine Learning Engineer, Education | Hybrid, Redwood City, U.S. | Chan Zuckerberg Initiative
Sr Machine Learning Engineer, Education | Hybrid, Redwood City, U.S. | Chan Zuckerberg Initiative
Staff Research AI Engineer, Science | Hybrid, Redwood City, U.S. | Chan Zuckerberg Initiative
Staff Software Engineer, AI Security | Hybrid, Redwood City, U.S. | Chan Zuckerberg Initiative
Staff Software Engineer, Data & AI Platforms | Hybrid, Redwood City, U.S. | Chan Zuckerberg Initiative
Sr Staff Data Scientist, Science | Hybrid, Redwood City, U.S. | Chan Zuckerberg Initiative
Data Scientist, AI/ML Data Processing | On-site, Redwood City, U.S. | Chan Zuckerberg Imaging Institute
Machine Learning Scientist | On-site, San Francisco | Chan Zuckerberg Biohub SF
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