Patent · US Active

Method and system for graph level anomaly detection

US11978188B2 · kind B2 · utility

0Cited by

0References

19Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Chen Qiu · Sindelfingen, DE
Maja Rudolph · Rötteln, DE

Key dates

Filing date	May 1, 2022
Grant date	May 7, 2024
Priority date	—
Expiry date	Jul 13, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A computer-implemented method of anomaly detection associated with graphical data includes receiving as input one or more input data sets, wherein the input data sets includes one or more graphs, utilizing a plurality of graph neural networks (GNNs) to identify an aggregate loss including a first loss and second loss associated with the input data set, wherein the aggregate loss is associated with embedding's of the GNNs, and outputting a notification associated with an anomaly detection when the first and second loss exceeds an anomaly-detection threshold.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.