US Patent Issued to Robert Bosch on Feb. 10 for "Boosting graph explainability using self-guided data augmentation" (California, Ohio Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,548,313, issued on Feb. 10, was assigned to Robert Bosch GmbH (Stuttgart, Germany).

"Boosting graph explainability using self-guided data augmentation" was invented by Piyush Chawla (Columbus, Ohio), Liang Gou (San Jose, Calif.), Huan Song (San Jose, Calif.), Thang Doan (Santa Clara, Calif.) and Liu Ren (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for training a model for determining graph similarity is disclosed. The method comprises receiving a first graph and a second graph as training inputs, the first graph and the second graph each including nodes connected by edges. The method further comprises applying a model to the...