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.
Patent No.:
Date of Patent:
Oct. 07, 2025
Filed:
Apr. 27, 2021
International Business Machines Corporation, Armonk, NY (US);
Rensselaer Polytechnic Institute, Troy, NY (US);
Yada Zhu, Irvington, NY (US);
Sijia Liu, Somerville, MA (US);
Aparna Gupta, Latham, NY (US);
Sai Radhakrishna Manikant Sarma Palepu, Troy, NY (US);
Koushik Kar, Waterford, NY (US);
Lucian Popa, San Jose, CA (US);
Kumar Bhaskaran, Englewood Cliffs, NJ (US);
Nitin Gaur, Round Rock, TX (US);
International Business Machines Corporation, Armonk, NY (US);
Rensselaer Polytechnic Institute, Troy, NY (US);
Abstract
A graph neural network can be built and trained to predict a risk of an entity. A multi-relational graph network can include a first graph network and a second graph network. The first graph network can include a first set of nodes and a first set of edges connecting some of the nodes in the first set. The second graph network can include a second set of nodes and a second set of edges connecting some of the nodes in the second set. The first set of nodes and the second set of nodes can represent entities, the first set of edges can represent a first relationship between the entities and the second set of edges can represent a second relationship between the entities. A graph convolutional network (GCN) can be structured to incorporate the multi-relational graph network, and trained to predict a risk associated with a given entity.