Google patents AI tool to spot network problems using graph maps
Google describes a system that maps computer networks into time-based graphs to track how connections change. It uses a type of AI called a graph neural network to find unusual patterns or errors in these maps. The system then displays these issues on a screen for network managers to review.
In the filing’s own words
The technology is directed to systems, methods, and computer-readable mediums for identifying anomalies on a network. One or more temporal network graphs representative of the network may be constructed. One or more anomalies with the network may be identified by one or more GNNs based on the one or more temporal network graphs. The one or more anomalies may be output to a frontend interface.
What exactly they claim (claim 1)
1. A system comprising: one or more computer processors; a memory in communication with the one or more computer processors, the memory storing instructions that, when executed by the one or more computer processors, causes the one or more computer processors to: construct one or more temporal network graphs representative of the network; identify, using a graph neural network (GNN), one or more anomalies within the network based on the one or more temporal network graphs; and output the one or more anomalies to a frontend interface.
Facts
- Company
- Google (Google LLC)
- Official title
- Artificial Intelligence-Powered State Of Network
- Publication number
- US20260277728A1
- Application number
- 19562053
- Filed
- Mar 10, 2026
- Published
- Sep 17, 2026
- Inventors
- 6
- Claims
- 20
Classified under
G06F 11/079 Physics & computingG06F 11/0709 Physics & computingG06N 3/042 Physics & computingMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.