ALEXANDRIA, Va., Oct. 8 -- United States Patent no. 12,437,193, issued on Oct. 7, was assigned to International Business Machines Corp. (Armonk, N.Y.) and Rensselaer Polytechnic Institute (Troy, N.Y.).
"Multi-relational graph convolutional network (GCN) in risk prediction" was invented by Yada Zhu (Irvington, N.Y.), Sijia Liu (Somerville, Mass.), Aparna Gupta (Latham, N.Y.), Sai Radhakrishna Manikant Sarma Palepu (Troy, N.Y.), Koushik Kar (Waterford, N.Y.), Lucian Popa (San Jose, Calif.), Kumar Bhaskaran (Englewood Cliffs, N.J.) and Nitin Gaur (Round Rock, Texas).
According to the abstract* released by the U.S. Patent & Trademark Office: "A graph neural network can be built and trained to predict a risk of an entity. A multi-relational gr...