Patents by Inventor Benjamin Chu MIN XIAN

Benjamin Chu MIN XIAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for determining features of entities based on centrality metrics of the entities in a knowledge graph
    Patent number: 11636290
    Abstract: Systems and methods of improved network analytics are disclosed. A system may determine feature propagation in a network of nodes of a graph database. The system may compute, at scale, datasets having complex relationships using graph analysis to determine network effects of entities in a network of entities stored in a graph database. The system may identify entities of interest, which may be associated with a quantitative feature value. The system may compute paths from an entity to the entities of interest, centrality metrics for entities in each of the paths, and path lengths to determine network effects of the entity of interests on the entity. The system may use the computed network effects, taking into account types of relationships between entities in the paths, to determine scaled quantitative feature values for the entity that is subject to the network effects of the entities of interest.
    Type: Grant
    Filed: November 15, 2019
    Date of Patent: April 25, 2023
    Assignee: REFINITIV US ORGANIZATION LLC
    Inventors: Sanjna Balkrishna Parasrampuria, Benjamin Chu Min Xian, Thibaut Patrick Marc Michel Tiberghien
  • SYSTEMS AND METHOD FOR SCORING ENTITIES AND NETWORKS IN A KNOWLEDGE GRAPH
    Publication number: 20200160121
    Abstract: Systems and methods of improved network analytics are disclosed. A system may determine feature propagation in a network of nodes of a graph database. The system may compute, at scale, datasets having complex relationships using graph analysis to determine network effects of entities in a network of entities stored in a graph database. The system may identify entities of interest, which may be associated with a quantitative feature value. The system may compute paths from an entity to the entities of interest, centrality metrics for entities in each of the paths, and path lengths to determine network effects of the entity of interests on the entity. The system may use the computed network effects, taking into account types of relationships between entities in the paths, to determine scaled quantitative feature values for the entity that is subject to the network effects of the entities of interest.
    Type: Application
    Filed: November 15, 2019
    Publication date: May 21, 2020
    Applicant: REFINITIV US ORGANIZATION LLC
    Inventors: Sanjna Balkrishna PARASRAMPURIA, Benjamin Chu MIN XIAN, Thibaut Patrick Marc Michel TIBERGHIEN