US Patent Issued on Sept. 29 for "Automated anomaly detection and root cause determination using multi dimensional, multi layer, multi model graph neural networks" (California Inventor)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,750,271, issued on Sept. 29.

"Automated anomaly detection and root cause determination using multi dimensional, multi layer, multi model graph neural networks" was invented by Deepak Kakadia (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are disclosed for automated anomaly detection and root cause determination in a network system by representing the network system as a multi-layer graph, where each layer corresponds to a different network protocol or technology; training a graph neural network (GNN) on the multi-layer graph to learn a predetermined behavior of the network system; detecting anomalies by comparing t...