Title:
GRAPH EMBEDDING-BASED RELATIONAL GRAPH KEY PERSONNEL ANALYSIS METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/207013
Kind Code:
A1
Abstract:
Disclosed in the present disclosure is a graph embedding-based relational graph key personnel analysis method and system. The method comprises the following steps: constructing a character relationship graph on the basis of social media data; analyzing each node in the character relationship graph by means of a graph embedding algorithm to obtain an embedding vector of each node; generating key node seeds of the character relationship graph according to a pre-correlation index; and according to the embedding vector of each node, analyzing the key node seeds by means of a clustering algorithm to identify a key personnel node. In the present disclosure, topological properties of the relationship graph are fully utilized, learnability is achieved, and there is no need to manually set a parameter value or specify a calculation rule for degree gain, so that an adverse effect of unreasonable setting of a manual rule is eliminated; meanwhile, the whole graph is calculated, and the isomorphism and heterogeneity of the nodes are integrated, so that the obtained analysis result of key personnel is more accurate.
Inventors:
ZHANG WEI (CN)
GUO FENG (CN)
CHEN HANPING (CN)
CAO RUIXUE (CN)
CHEN XUQI (CN)
GUO FENG (CN)
CHEN HANPING (CN)
CAO RUIXUE (CN)
CHEN XUQI (CN)
Application Number:
PCT/CN2022/129009
Publication Date:
November 02, 2023
Filing Date:
November 01, 2022
Export Citation:
Assignee:
GRG BANKING EQUIPMENT CO LTD (CN)
International Classes:
G06F16/28; G06F16/36; G06F17/18
Foreign References:
| CN114880482A | 2022-08-09 | |||
| CN112269922A | 2021-01-26 | |||
| CN106296537A | 2017-01-04 | |||
| CN111813951A | 2020-10-23 | |||
| CN111797714A | 2020-10-20 | |||
| US8312056B1 | 2012-11-13 |
Attorney, Agent or Firm:
BEIJING MIZAR STAR INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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