US Patent Issued to International Business Machines, Rensselaer Polytechnic Institute on Nov. 18 for "Iterative deep graph learning for graph neural networks" (New York Inventors)

ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,475,694, issued on Nov. 18, was assigned to International Business Machines Corp. (Armonk, N.Y.) and Rensselaer Polytechnic Institute (Troy, N.Y.).

"Iterative deep graph learning for graph neural networks" was invented by Lingfei Wu (Elmsford, N.Y.), Yu Chen (Troy, N.Y.) and Mohammed J. Zaki (Troy, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An initial noisy graph topology is obtained and an initial adjacency matrix is generated by a similarity learning component using similarity learning and a similarity metric function. An updated adjacency matrix with node embeddings is produced from the initial adjacency matrix using a graph neural network (...