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]
Fei Haojun: The Evolution of Financial AI Requires Breaking through the Capabilities Ceiling of Foundational Models [Futunn]
Knowledge Graph Lite, Part I & Part II by Jessica Talisman [Substack]
Knowledge Cast: Amy Hodler, Founder & Executive Director of GraphGeeks [Enterprise Knowledge]
The Weekly Edge: MCP for the Semantic Web, 2 New Graph Databases, BattleGraphs, & More [gdotv blog]
Enterprise AI & Entity Resolution Now [Senzing blog]
The Advantages of GraphRAG for Enhanced Regulatory Compliance & Understanding [GraphWise blog]
GraphGeeks in Discussion: Graph-Wide Scanning for Cybersecurity [GraphGeeks]
Human-in-the-Loop for AI: A Collaborative Future in Research Workflows [metaphacts blog]
Knowledge Graph Events
Graph Tech Demystified: The Basics & Beyond in 120 Minutes with Paco Nathan – Virtual/Online – 12 August
SEMANTiCS: International Conference on Semantic Systems – Vienna – 3-5 September
NeSy: Conference on Neurosymbolic Learning & Reasoning – Santa Cruz, U.S. – 8-10 September
ENDORSE: The European Data Conference on Reference Data & Semantics – Brussels – 8-9 October
ISWC: International Semantic Web Conference – Nara, Japan – 2-6 November
K-CAP: International Conference on Knowledge Capture – Dayton, U.S. – 10-12 December
Research & Papers
Enhanced pre-recruitment framework for clinical trial questionnaires through the integration of large language models and knowledge graphs [Scientific Reports]
Multi-level contrastive reasoning over knowledge graphs for fault diagnosis of confounding cases [ScienceDirect]
Tech Deep Dive & Applications
Book: Neo4j: The Definitive Guide by Luanne Misquitta & Christophe Willemsen [O’Reilly]
Building domain-specific agents with natural language using Hypermode [YouTube]
Amazon Neptune 101: Creating & Connecting to Your First Cluster (Developer Walkthrough) [gdotv blog]
How to Convert Unstructured Text to Knowledge Graphs Using LLMs [Neo4j blog]
New KG Tech & Solutions
Memelang: AI-optimized language for querying structured data, knowledge graphs, & RAG pipelines [Bri Holt]
GitHub code: Agentic Workflows for Graph RAG Workshop [GraphGeeks]
Knowledge Graph Jobs
Sales Engineer, EMEA (Remote / London) – Stardog
Sales Engineer, U.S. West (Remote / U.S.) – Stardog
Senior AI Engineer, Applied AI (On-site / Multiple Locations) – Balyasny
Senior Full-Stack Engineer, Applied AI (On-site / Multiple Locations) – Balyasny
Head of AI (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Machine Learning Engineer, Education (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Sr Machine Learning Engineer, Education (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Staff Research AI Engineer, Science (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Staff Software Engineer, AI Security (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Staff Software Engineer, Data & AI Platforms (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Sr Staff Data Scientist, Science (Hybrid / Redwood City, CA) – Chan Zuckerberg Initiative
Sr Data Scientist, Mass Spectrometry (Hybrid / Chicago) – Chan Zuckerberg Initiative
Data Scientist, AI/ML Data Processing (On-site / Redwood City, CA) – Chan Zuckerberg Imaging Institute
Software Engineer, Data (On-site / Redwood City, CA) – Chan Zuckerberg Imaging Institute
Machine Learning Scientist (On-site / San Francisco) – Chan Zuckerberg Biohub SF
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