Invention Grant
- Patent Title: Neural bit embeddings for graphs
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Application No.: US15793539Application Date: 2017-10-25
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Publication No.: US10977310B2Publication Date: 2021-04-13
- Inventor: Sumit Bhatia , Vinith Misra
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: VanLeeuwen & Vanleeuwen
- Agent Feb R. Cabrasawan
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/901 ; G06F16/248 ; G06F17/10 ; G06N5/00 ; G06N5/02 ; G06F16/2455

Abstract:
An approach is provided in which a system transforms a set of embedding approximation values corresponding to a set of knowledge graph nodes into a set of binary valued embedding vectors. The system evaluates the set of binary valued embedding vectors against a query and a selects one of the binary valued embedding vectors based on the evaluation. The system then identifies one of the knowledge graph nodes that corresponds to the selected binary valued embedding vector and in turn, provides a result to the query based on the identified knowledge graph node.
Public/Granted literature
- US20180341720A1 Neural Bit Embeddings for Graphs Public/Granted day:2018-11-29
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