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Using a Hybrid Technique to Detect Illicit Activities in Shell Companies

Editor's note: This presentation was given by Milind Tiwari at NODES 2021. Shell companies are entities with low or no physical presence and economic values, used for legal purposes, such as reverse merger, to facilitate in foreign operations, or even to hold real estate properties. However,... read more


This Week in Neo4j

This Week in Neo4j – Health Care & Life Sciences Workshop, Cloudflare Workers, Apache Hop, and More

Hello, everyone! It’s that time again to explore the latest news in this week's edition of This Week in Neo4j. This week, we feature the Neo4j Health Care & Life Sciences Workshop 2021, a two-day workshop with in-depth technical presentations from the healthcare and life... read more


From Law Enforcement to Graph Technology

From Law Enforcement to Graph Technology: An Unlikely Relationship

After spending 14 years in data technology and most recently working in law enforcement for Interpol out of Singapore, I was drawn (again) into the realm of connected data and decided to take the leap of "Graith" (Graph + Faith). So Why Did I Join Neo4j? It was a timely opportunity,... read more


Actioning vs. decisioning knowledge graphs

From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs

Unleashing the power of knowledge is imperative for enterprises looking for a competitive edge. Everyone wants to capture knowledge, to connect everything that they know. However, turning data into knowledge is still very much an ongoing effort – though progress has been made, most data... read more



You Don’t Need a Crystal Ball When You Have Graph Data Science

Crystal balls, tarot cards, fortune tellers, Groundhog Day – all things used to make predictions. The problem is, they’re not very reliable. But you know what is reliable? Graph data science. Graph data science is a science-driven approach to gain knowledge from the relationships and... read more