Invention Grant
- Patent Title: System for discovering hidden correlation relationships for risk analysis using graph-based machine learning
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Application No.: US16285157Application Date: 2019-02-25
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Publication No.: US11599840B2Publication Date: 2023-03-07
- Inventor: Lishui Cheng , Ching-Yung Lin , Jie Lu , Danny Lo-Tien Yeh
- Applicant: Graphen, Inc.
- Applicant Address: US NY New York
- Assignee: Graphen, Inc.
- Current Assignee: Graphen, Inc.
- Current Assignee Address: US NY New York
- Agency: Akerman LLP
- Agent Ryan L. Harding
- Main IPC: G06Q10/00
- IPC: G06Q10/00 ; G06Q10/0635 ; G06N20/00 ; G06T11/20

Abstract:
A system, method, and computer readable device that detects hidden correlation relationships among entities, such as companies and/or individuals is presented. A dataset that corresponds to a predefined set of correlation relationships of these companies and/or individuals may be collected. The dataset may be stored in a graph database and a machine learning system may be built using features computed from the graph database. At least a new pair of companies or a new pair of an individual and a company may be evaluated. The system, method, and/or computer readable device may determine whether a hidden correlation relationship exists between them.
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