Invention Grant
- Patent Title: Quantum-machine training of knowledge graphs
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Application No.: US16122528Application Date: 2018-09-05
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Publication No.: US11244231B2Publication Date: 2022-02-08
- Inventor: Yunpu Ma , Volker Tresp
- Applicant: Siemens Aktiengesellschaft
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Agency: Schmeiser, Olsen & Watts, LLP
- Main IPC: G06N5/02
- IPC: G06N5/02 ; B82Y10/00 ; G06F17/18 ; G06F9/50 ; G06F9/38 ; G06F15/16 ; G06N10/00 ; G06N20/00 ; G06F16/901 ; G06F40/30
Abstract:
Various examples generally relate to knowledge graphs including entities and links associated with semantic triples including subject-predicate-object. Various examples specifically relate to quantum-machine learning of knowledge graphs. Further examples relate to a quantum-machine-assisted inference on knowledge graphs.
Public/Granted literature
- US20200074316A1 QUANTUM-MACHINE TRAINING OF KNOWLEDGE GRAPHS Public/Granted day:2020-03-05
Information query
