Disentangled graph learning for incremental causal discovery and root cause analysis
US12332734B2 · kind B2 · utility
0Cited by
0References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2023 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Dec 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3452
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for locating root causes is provided. The method includes detecting a trigger point from entity metrics data and key performance indicator (KPI) data, generating a learned causal graph by fusing a state-invariant causal graph with a state-dependent causal graph, and locating the root causes by employing a random walk-based technique to estimate a probability score for each of the entity metrics data by starting from a KPI node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.