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公开(公告)号:US11500841B2
公开(公告)日:2022-11-15
申请号:US16240019
申请日:2019-01-04
摘要: Systems, computer-implemented methods, and computer program products that can facilitate encoding a tree data structure into a vector based on a set of constraints are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a constraint former that can form a set of constraints based on a first tree data structure and a vector encoder that can encode the first tree data structure into a vector based on the set of constraints.
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公开(公告)号:US20200218706A1
公开(公告)日:2020-07-09
申请号:US16240019
申请日:2019-01-04
摘要: Systems, computer-implemented methods, and computer program products that can facilitate encoding a tree data structure into a vector based on a set of constraints are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a constraint former that can form a set of constraints based on a first tree data structure and a vector encoder that can encode the first tree data structure into a vector based on the set of constraints.
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公开(公告)号:US20180053096A1
公开(公告)日:2018-02-22
申请号:US15242821
申请日:2016-08-22
发明人: Robert G. Farrell , Achille Fokoue-Nkoutche , Oktie Hassanzadeh , Mohammad Sadoghi Hamedani , Meinolf Sellmann , Ping Zhang
CPC分类号: G06N5/022 , G06F16/9024
摘要: Methods, systems, and computer program products for linkage prediction through similarity analysis are provided herein. A computer-implemented method includes extracting multiple features from (i) one or more attributes of a set of source nodes within a knowledge graph and (ii) one or more attributes of a set of target nodes within the knowledge graph, wherein at least one extracted feature satisfies a designated complexity level; performing a similarity analysis across the at least one extracted feature by applying one or more similarity measures to the at least one extracted feature; predicting one or more sets of links between the source nodes and the target nodes based on the similarity analysis, wherein one or more sets of predicted links satisfy a pre-determined accuracy threshold; and outputting the one or more sets of predicted links to a user.
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