Invention Grant
- Patent Title: Graph similarity analytics
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Application No.: US15954891Application Date: 2018-04-17
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Publication No.: US11853713B2Publication Date: 2023-12-26
- Inventor: Pin-Yu Chen , Lingfei Wu , Chia-Yu Chen , Yada Zhu
- 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: Amin, Turocy & Watson, LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F7/20 ; G06N20/00 ; G06F16/23 ; G06F16/901

Abstract:
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.
Public/Granted literature
- US20190317728A1 GRAPH SIMILARITY ANALYTICS Public/Granted day:2019-10-17
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