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Victor Lee

Head, Product Marketing Distinguished Graph Specialist

Dr. Victor Lee is a long-time technical and product leader at TigerGraph. He combines technical knowledge in graph analytics, databases, and ML/AI with strengths in strategic planning, communication, customer/user experience, and leadership to help to bring to market category-leading graph analytics & AI products. He is the author of Graph-Powered Analytics and Machine Learning with TigerGraph. At TigerGraph, he has previously served as Head of Product Strategy/Developer Relations and Head of Machine Learning/AI. He has degrees from UC Berkeley (BS Electrical Engineering and Computer Science), Stanford University, (MS EE) and Kent State University (PhD Computer Science, research on graph data mining). Before TigerGraph he was a visiting professor at John Carroll University.

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A graphic shows financial icons connected by lines with a magnifying glass highlighting a warning symbol and a user icon; text reads, Financial Crime Modernization is Stalling for a Simple Reason. TigerGraph logo appears in the top left.
Fraud / Anti-Money Laundering, KYC risk assessment
Sun 26 Apr 2026
Financial Crime Modernization is Stalling for a Simple Reason
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Diagram showing interconnected people and devices, a bank, and a credit card, alongside line graphs labeled T1, T2, T3, illustrating timing patterns. Text reads: Coordinated Timing Patterns That Reveal Collusion.
Fraud / Anti-Money Laundering, Graph Databases
Sun 19 Apr 2026
Coordinated Timing Patterns That Reveal Collusion
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A diagram with AI in a central orange circle connected to icons of a bank, person, document, mobile device, and a shield. Text below reads: Why Every Responsible Agentic AI System Needs a Graph Spine. TigerGraph logo at top left.
Graph + AI, Graph Databases
Fri 10 Apr 2026
Why Every Responsible Agentic AI System Needs a Graph Spine
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TigerGraph graphic illustrating circular money flow between individuals and institutions, with icons for coordinated fraud and shared infrastructure; text reads How to Supercharge Fraud Detection with Graph Models.
Fraud / Anti-Money Laundering, Graph Databases
Fri 10 Apr 2026
How to Supercharge Fraud Detection with Graph Models
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Three clipboard icons with question marks and warning symbols are connected by arrows, representing unresolved cases. The background features a blue gradient and network lines, with the text: Repeat Investigations Signal Entity Resolution Failures That Inflate Casework.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Thu 9 Apr 2026
Repeat Investigations Signal Entity Resolution Failures That Inflate Casework
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An infographic by TigerGraph shows two networks: one with duplicate and fragmented records, and another with unified, complete identities, illustrating how graph technology resolves broken entity resolution.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Wed 8 Apr 2026
Entity Resolution is Broken & Here’s How Graph Fixes it
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Infographic with TigerGraph logo, network graphs labeled Centrality and Community Detection, and a map showing airline routes between ATL and LHR. Text reads: What Airline Routes Teach Us About Graph Analytics at Scale.
Data Science, Graph Databases, Risk and Fraud Analytics
Wed 8 Apr 2026
What Airline Routes Teach Us About Graph Analytics at Scale
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A comparison graphic showing Traditional BI with bar and table icons versus Graph Analytics with a network node icon, highlighting differences, with the text: What You’re Missing with Traditional BI vs Graph Analytics.
Graph Databases, Risk and Fraud Analytics
Thu 5 Mar 2026
What You’re Missing with Traditional BI vs Graph Analytics
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