US Patent Issued to ROYAL BANK OF CANADA on July 22 for "System and method for structure learning for graph neural networks" (Canadian Inventors)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,375, issued on July 22, was assigned to ROYAL BANK OF CANADA (Toronto).

"System and method for structure learning for graph neural networks" was invented by Bahare Fatemi (Toronto), Seyed Mehran Kazemi (Toronto) and Layla El Asri (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "A graph structure having nodes and edges is represented as an adjacency matrix, and nodes of the graph structure have node features. A computer-implemented method and system for generating a graph structure are provided, the method comprising: generating an adjacency matrix based on a plurality of node features; generating a plurality of noisy node features based on th...