BOOK-CHAPTER

Inductive Matrix Completion Based on Graph Attention

Zhou ZhouYuxing ZongZhongtao YueShi‐Min Cai

Year: 2022 Communications in computer and information science Pages: 159-166   Publisher: Springer Science+Business Media
Keywords:
MovieLens Computer science Graph Mainstream Readability Node (physics) Artificial intelligence Machine learning Recommender system Theoretical computer science Collaborative filtering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
17
Refs
0.45
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
Expert finding and Q&A systems
Physical Sciences →  Computer Science →  Information Systems

Related Documents

JOURNAL ARTICLE

Hybrid Inductive Graph Method for Matrix Completion

Jayun YongChulyun Kim

Journal:   International Journal of Data Warehousing and Mining Year: 2024 Vol: 20 (1)Pages: 1-16
JOURNAL ARTICLE

Keyword-enhanced recommender system based on inductive graph matrix completion

Donghee HanDaehee KimKeejun HanMun Yong Yi

Journal:   Engineering Applications of Artificial Intelligence Year: 2023 Vol: 128 Pages: 107499-107499
JOURNAL ARTICLE

IMCHGAN: Inductive Matrix Completion With Heterogeneous Graph Attention Networks for Drug-Target Interactions Prediction

Jin LiJingru WangHao LvZhuoxuan ZhangZaixia Wang

Journal:   IEEE/ACM Transactions on Computational Biology and Bioinformatics Year: 2021 Vol: 19 (2)Pages: 655-665
© 2026 ScienceGate Book Chapters — All rights reserved.