A heterogeneous graph completion method based on node perception attention and related equipment
By constructing meta-paths and node aggregations, and combining them with an attention adjustment mechanism, a heterogeneous graph completion method is developed. This method solves the problem of accurately recognizing the relationships between nodes in heterogeneous clusters, achieving high-accuracy completion of heterogeneous graph networks. It is applicable to fields such as unmanned systems and intelligent transportation.
CN122133768APending Publication Date: 2026-06-02SUN YAT SEN UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUN YAT SEN UNIV
- Filing Date
- 2026-01-15
- Publication Date
- 2026-06-02
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Figure CN122133768A_ABST
Abstract
This application discloses a heterogeneous graph completion method and related equipment based on node-aware attention. The method includes: constructing meta-paths based on prior knowledge, and constructing an initial heterogeneous graph based on the meta-paths for a heterogeneous cluster; performing node aggregation under a specific meta-path and comprehensive aggregation across multiple meta-paths on each node in the initial heterogeneous graph to obtain a target node representation; and performing edge completion on the initial heterogeneous graph based on the target node representation using a pre-trained link prediction model to obtain a target heterogeneous graph. The embodiments of this application can more comprehensively capture complex relationship patterns in heterogeneous graphs, thereby improving the accuracy of network completion and can be widely applied in the field of data mining technology.
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