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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 flowchart with blue circles shows Entity A linked to an Owner, who is then linked to a Sanctioned Entity. Text reads: Proximity Risk in KYC and KYB: Why Second-Degree Connections Change the Outcome. TigerGraph logo at top left.
Entity Resolution, KYC risk assessment, Risk and Fraud Analytics
Thu 19 Feb 2026
Proximity Risk in KYC and KYB: Why Second-Degree Connections Change the Outcome
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A graphic shows interconnected icons representing data nodes and users, with one highlighted in orange, symbolizing anomaly detection. Text reads: Anomaly vs. Outlier Detection: How Hybrid Graph+Vector Search Discovers What Others Miss. TigerGraph logo appears.
Fraud / Anti-Money Laundering, Graph + AI, Graph Databases
Tue 27 Jan 2026
Anomaly vs. Outlier Detection: How Hybrid Graph+Vector Search Discovers What Others Miss
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Orange and black TigerGraph banner showing folders with icons for databases and networks, connected by lines to a central user icon, illustrating connections. Text reads: Practical Graph Database Schema Design: Modeling Connections for Speed and Clarity.
Graph Databases, TigerGraph
Thu 8 Jan 2026
Practical Graph Database Schema Design: Modeling Connections for Speed and Clarity
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Flowchart showing LangChain connecting to a database and feeding information to a human head with AI symbols, then to a workflow diagram. TigerGraph logo is at the top left. Text reads: What is LangChain? A Practical, Look at How It Actually Works.
Graph + AI
Wed 17 Dec 2025
What is LangChain: A Practical, Grounded Look at How it Actually Works
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A blue graphic with a human head silhouette on the left, brain icon inside, and a network of connected icons on the right representing email, money, person, mobile, document, and database. Text: Understanding AI Limitations.
Graph + AI
Thu 11 Dec 2025
Understanding the Limitations of AI in Enterprise Systems
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Diagram showing an original blue graph structure on the left, modified orange graph with warning symbols on the right, and AI in the center, illustrating adversarial graphs for AI stress-testing. TigerGraph logo is at the top left.
Fraud / Anti-Money Laundering, Graph + AI, TigerGraph
Mon 24 Nov 2025
Using Adversarial Graphs to Stress-Test AI with Competing Networks
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White and orange text on a black background reads, “How Graph Can Expose Interconnected Fraud & Hidden Links for Zions and Western Alliance.” TigerGraph logo is in the top left corner, with faint network icons in the background.
Fraud / Anti-Money Laundering
Thu 6 Nov 2025
How Graph Could Have Exposed Suspicious Loans for Zions and Western Alliance Banks
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Diagram illustrating an AML (Anti-Money Laundering) use case with money flows between user icons and warning alert symbols, all connecting to a central AML node. TigerGraph logo is in the top left corner.
Fraud / Anti-Money Laundering, Graph + AI
Mon 27 Oct 2025
How Graph-Powered AML Systems Catch What Traditional Rules Miss
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