BOOK-CHAPTER

User-Item-Context Graph Convolutional Network for Recommendation Systems

Thi Thu Thuy CaoHoang Viet Phap NguyenHuyen Trang Phan

Year: 2025 Lecture notes in computer science Pages: 24-36   Publisher: Springer Science+Business Media
Keywords:
Recommender system Graph Convolutional neural network Graph theory

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
16
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Advanced Graph Neural Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Machine Learning in Healthcare
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation

Xiao GuLing Jian

Journal:   Data Mining and Knowledge Discovery Year: 2025 Vol: 39 (5)
JOURNAL ARTICLE

Effectiveness of Graph Neural Networks for User-User-Item Recommendation Systems

Pratiti AhaleTanuja PattanshettiShweta Nayak

Journal:   2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) Year: 2021 Pages: 1527-1532
JOURNAL ARTICLE

NIE-GCN: Neighbor Item Embedding-Aware Graph Convolutional Network for Recommendation

Yi ZhangYiwen ZhangDengcheng YanQiang HeYun Yang

Journal:   IEEE Transactions on Systems Man and Cybernetics Systems Year: 2024 Vol: 54 (5)Pages: 2810-2821
JOURNAL ARTICLE

Efficient complementary graph convolutional network without negative sampling for item recommendation

Bin WuLihong ZhongHui LiYangdong Ye

Journal:   Knowledge-Based Systems Year: 2022 Vol: 256 Pages: 109758-109758
© 2026 ScienceGate Book Chapters — All rights reserved.