US Patent Issued to Fujitsu on March 24 for "Remote statistical generation of graphs for graph machine learning" (California Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,987, issued on March 24, was assigned to Fujitsu Ltd. (Kawasaki, Japan).

"Remote statistical generation of graphs for graph machine learning" was invented by Wing Yee Au (Saratoga, Calif.) and Kanji Uchino (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "According to an aspect of an embodiment, operations may include retrieving a first graph. The operations may further include identifying a set of node-types, determining a first count of each of the identified set of node-types, and determining first statistical information. The operations may further include identifying a set of edge-types, determining a second count of each of ...