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:
Jun. 30, 2026

Filed:

Feb. 18, 2025
Applicant:

Paypal, Inc., San Jose, CA (US);

Inventors:

Junshi Guo, Shanghai, CN;

Pengshan Zhang, Shanghai, CN;

Xia Zhang, Shanghai, CN;

Kasiviswanathan Natarajan, Fremont, CA (US);

Karteek Reddy Chada, Dublin, CA (US);

Yu Zhang, Shanghai, CN;

Assignee:

PayPal, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2455 (2019.01); G06F 16/22 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24553 (2019.01); G06F 16/2264 (2019.01);
Abstract

Techniques are disclosed for enabling cross-graph querying in graph databases using a transition operator within a traversal context. In some embodiments, a computing system receives a query containing a transition operator that facilitates transitioning from a first graph to a second graph. The system processes a traversal operation within the first graph, retrieves intermediary data, and transitions to the second graph to perform subsequent traversal operations. The query engine can utilize confidence scores associated with edges in the graphs to filter or prioritize results, ensuring the reliability of returned data. Additionally, data validation techniques using a mirror graph are disclosed, where new data is validated before integration into a production graph. These techniques streamline cross-graph data analysis, improve query efficiency, and maintain graph database integrity while supporting applications such as fraud detection, recommendation systems, and account linking.


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