Enhancing Recommendation Accuracy and Explainability by Integrating Knowledge Graphs and Social Networks with Graph Attention
This paper proposes a knowledge-aware influence propagation recommendation model based on graph attention, integrating user–item interactions with semantic information from knowledge graphs (KGs) and neighbor relations from social networks. In semanti
Authors
- Guifei Jiang (ORCID: https://orcid.org/0000-0001-9578-7667)
- Meng Xian-tao
- Yuping Yang (ORCID: https://orcid.org/0009-0008-5861-3869)
Institutions
- China Mobile (China) (CN)
- Nankai University (CN)
- Software (Spain) (ES)
Publication Details
- Published
- 2025-10-03
- DOI
- https://doi.org/10.22541/au.175952223.35212771/v1
- Primary Topic
- Advanced Graph Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00