Node importance evaluation model for educational knowledge graph based on topological structure and similarity information fusion
STUDY|更新时间:2026-08-04
|
Node importance evaluation model for educational knowledge graph based on topological structure and similarity information fusion
BIG DATA RESEARCHVol. 12, Issue 4, Pages: 117-136(2026)
作者机构:
1.上海师范大学信息与机电工程学院,上海 200234
2.上海新致软件股份有限公司,上海 200127
3.上海师范大学上海智能教育大数据工程技术研究中心,上海 200234
作者简介:
基金信息:
The National Natural Science Foundation of China(62477032);The National Natural Science Foundation of China(62302306);The National Natural Science Foundation of China(62372300)
Li Meizi,Wu Yunfang,Lu Shuyi,et al.Node importance evaluation model for educational knowledge graph based on topological structure and similarity information fusion[J].BIG DATA RESEARCH,2026,12(04):117-136.
Li Meizi,Wu Yunfang,Lu Shuyi,et al.Node importance evaluation model for educational knowledge graph based on topological structure and similarity information fusion[J].BIG DATA RESEARCH,2026,12(04):117-136.DOI: 10.11959/j.issn.2096-0271.2025077.
Node importance evaluation model for educational knowledge graph based on topological structure and similarity information fusion
Optimization of the Hadoop ecosystem based on the dynamic trade-off model and SDAPC framework: cross-layer storage and computation synergy and trustworthy scheduling strategies
Time series data multi-scale missing value imputation
Demand-driven construction mechanisms and pricing models for flexible data supply chains
Construction of the trusted data space based on reality-data integration
Research on speaker anonymization method via latent space splicing and contrastive learning