- 专利标题: Graph similarity analytics
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申请号: US15954891申请日: 2018-04-17
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公开(公告)号: US11853713B2公开(公告)日: 2023-12-26
- 发明人: Pin-Yu Chen , Lingfei Wu , Chia-Yu Chen , Yada Zhu
- 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
- 代理机构: Amin, Turocy & Watson, LLP
- 主分类号: G06F16/00
- IPC分类号: G06F16/00 ; G06F7/20 ; G06N20/00 ; G06F16/23 ; G06F16/901
摘要:
Techniques that facilitate graph similarity analytics are provided. In one example, a system includes an information component and a similarity component. The information component generates a first information index indicative of a first entropy measure for a first graph-structured dataset associated with a machine learning system. The information component also generates a second information index indicative of a second entropy measure for a second graph-structured dataset associated with the machine learning system. The similarity component determines similarity between the first graph-structured dataset and the second graph-structured dataset based on a graph similarity computation associated with the first information index and the second information index.
公开/授权文献
- US20190317728A1 GRAPH SIMILARITY ANALYTICS 公开/授权日:2019-10-17
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