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    Optimized Counting of Common Neighbors/Vertices in GSQL

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    Read more about the article Optimized Counting of Common Neighbors/Vertices in GSQL

    Optimized Counting of Common Neighbors/Vertices in GSQL

    • Post author:Victor Lee
    • Post published:November 17, 2023
    • Post category:blog/Engineers

    Optimized Counting of Common Neighbors/Vertices in GSQL Graph analytics plays a crucial role in finding hidden relationships within large datasets. One fundamental operation in this domain is calculating the number…

    Continue ReadingOptimized Counting of Common Neighbors/Vertices in GSQL
    Read more about the article November 2023 TigerGraph Cloud Update

    November 2023 TigerGraph Cloud Update

    • Post author:Paige Leidig
    • Post published:November 8, 2023
    • Post category:blog

    Welcome to the November 2023 update for TigerGraph Cloud, the cutting-edge platform that revolutionizes the way you manage and analyze your graph data. In this blog post, we will explore…

    Continue ReadingNovember 2023 TigerGraph Cloud Update
    Read more about the article Utilizing Multi-edge for Temporal Search in a Sales Agent Hierarchy

    Utilizing Multi-edge for Temporal Search in a Sales Agent Hierarchy

    • Post author:Andrew
    • Post published:September 14, 2023
    • Post category:blog/Engineers

    Introduction Hello everyone! I'm Xuanlei Lin. I have worked as a solution engineer at TigerGraph for two years and as a customer success consultant for another two years. Throughout this…

    Continue ReadingUtilizing Multi-edge for Temporal Search in a Sales Agent Hierarchy
    Read more about the article Advancing Entity Resolution for Fraud Detection with TigerGraph

    Advancing Entity Resolution for Fraud Detection with TigerGraph

    • Post author:Andrew
    • Post published:September 8, 2023
    • Post category:blog/Engineers

    First in our series of blogs straight from our engineers to you. In today's digitally interconnected world the proliferation of data has presented both unprecedented opportunities and challenges. One of…

    Continue ReadingAdvancing Entity Resolution for Fraud Detection with TigerGraph
    Read more about the article Reduce AML Investigation Costs with TigerGraph

    Reduce AML Investigation Costs with TigerGraph

    • Post author:Andrew
    • Post published:September 5, 2023
    • Post category:blog

    by Parker Erickson and Victor Lee Anti-Money Laundering (AML) refers to the set of laws, regulations, and procedures aimed at preventing and detecting money laundering – the concealment of illegally…

    Continue ReadingReduce AML Investigation Costs with TigerGraph
    Read more about the article Using Graph Machine Learning to Improve Fraud Detection Rates

    Using Graph Machine Learning to Improve Fraud Detection Rates

    • Post author:Andrew
    • Post published:August 30, 2023
    • Post category:blog/Fraud / Anti-Money Laundering

    by Parker Erickson Fraud comes in all shapes and forms across many industries; from account takeovers, to transaction fraud, the financial services industry to healthcare, fraud is both prevalent and…

    Continue ReadingUsing Graph Machine Learning to Improve Fraud Detection Rates
    Read more about the article The Power Of Graph Machine Learning: Ethereum Blockchain Fraud Detection

    The Power Of Graph Machine Learning: Ethereum Blockchain Fraud Detection

    • Post author:Jon Herke
    • Post published:August 15, 2023
    • Post category:Fraud / Anti-Money Laundering/Video

    Continue ReadingThe Power Of Graph Machine Learning: Ethereum Blockchain Fraud Detection
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    Dr. Jay Yu

    Dr. Jay Yu | VP of Product and Innovation

    Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems

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    Todd Blaschka | COO

    Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.