Patent · US Active

Entity disambiguation using graph neural networks

US12159224B2 · kind B2 · utility

0Cited by

0References

22Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Chuan Lei · Cupertino, US
Alina Vretinaris · Stuttgart, DE
Vasilis Efthymiou · San Jose, US
Fatma Ozcan · San Jose, US

Key dates

Filing date	Dec 22, 2020
Grant date	Dec 3, 2024
Priority date	—
Expiry date	Oct 4, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Computer-implemented techniques for entity disambiguation using graph neural networks (GNNs) are provided. According to an embodiment, computer implemented method can comprise receiving, by a system operatively coupled to a processor, an unstructured text snippet comprising an unknown term. The method further comprises employing, by the system, a heterogeneous GNN trained on a knowledge graph associated with a domain of the unstructured text snippet to facilitate identifying one or more similar terms included within the knowledge graph for the unknown term.

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