📖 New Article: Decision Making Beyond Local Graph Context
When investigating an Entity in the Quantexa Graph, how do you ensure you're not missing critical context? Expanding through the Graph can reveal important connections, but going too far can lead to information overload. This new article by explores how Multi-hop Graph Analysis helps investigators uncover hidden relationships by analyzing the Graph in its entirety—beyond just proximity. Using Quantexa’s Knowledge Graph framework, Matt explores an example of how this approach identified 65 new Entities linked to financial crime that weren’t flagged in public investigations. 🔎 Learn how Multi-hop Graph Analysis enhances investigations, from AML to risk management and beyond. 📖 Read the full article: Decision making beyond local Graph context - Quantexa Community Background When investigating an Entity in the Quantexa Graph, it is common for an investigator to start from the Entity in question, and expand through the Graph along related documents and Entities to find relevant linked information. This is standard practice in many contexts, for example in various risk applications,… You can also watch the webinar recording to hear from Matt directly: How Knowledge Graphs Help Identify Bad Financial Actors and Commercial Opportunities at Scale In this session, you’ll learn how multi hop graph techniques explore proximity and paths to illuminate relationships and communities of interest.
