The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 30, 2025

Filed:

Dec. 21, 2021
Applicant:

Iqvia Inc., Durham, NC (US);

Inventors:

Yong Cai, Marina, CA (US);

Yanping Liu, Harleysville, PA (US);

Ruoxin Li, Chapel Hill, NC (US);

Emily Zhao, Wayne, PA (US);

Yilian Yuan, North Wales, PA (US);

William Mcclellan, Havertown, PA (US);

Assignee:

IQVIA Inc., Parsippany, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G06N 20/00 (2019.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G16H 40/20 (2018.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01);
Abstract

Methods and systems to identify collaborative communities of individuals from graphs of multiple types of relationships amongst the individuals, including to mine data related to multiple types of relationships amongst individuals, construct graphs to represent the respective types of relationships amongst individuals, and perform a multiplex graph convolutional network (MGCN) artificial intelligence machine learning (AIML) analysis across the multiple graphs to identify the collaborative communities. A mathematical representation of the graphs may be learned/tuned to optimize clustering of the individuals. Multiple parameters (inter-graph weights, consensus regularization function) may be jointly tuned based on a joint optimization function. The collaborative communities may be displayed such that relative positions of the individuals represent measures of influence exerted by the respective individuals within the respective collaborative communities.


Find Patent Forward Citations

Loading…