- 专利标题: HYBRID GRAPH NEURAL NETWORK
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申请号: US17161152申请日: 2021-01-28
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公开(公告)号: US20220237447A1公开(公告)日: 2022-07-28
- 发明人: Chuan Lei , Junheng Hao , Vasilis Efthymiou , Fatma Ozcan , Abdul Quamar
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06F16/28 ; G06N3/04
摘要:
An embodiment includes extracting, responsive to an update request from a remote requesting system, technical descriptor data from a data source. The embodiment also includes forming a new graph data structure using the technical descriptor data extracted from the data source. The embodiment also includes augmenting the new graph data structure to include a concept based on a value from instance data from the data source. The embodiment also includes identifying a first pair of concepts that are connected in a pre-existing ontology that correspond with a second pair of concepts that lack a connection therebetween in the new graph structure. The embodiment also includes augmenting the new graph data structure to include a connection between the second pair of concepts. The embodiment also includes outputting the new graph data structure as part of a response to the update request from the requesting system.
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