BOOK-CHAPTER

Multi-granularity Complex Network Representation Learning

Peisen LiGuoyin WangJun HuYun Li

Year: 2020 Lecture notes in computer science Pages: 236-250   Publisher: Springer Science+Business Media
Keywords:
Granularity Computer science Representation (politics) Node (physics) Focus (optics) Theoretical computer science Topology (electrical circuits) Feature learning Data mining Artificial intelligence Mathematics

Metrics

2
Cited By
0.26
FWCI (Field Weighted Citation Impact)
36
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Graph Neural Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

Related Documents

JOURNAL ARTICLE

Multi-granularity network representation learning on overlapping communities

Rongrong ZhouJinhai Li

Journal:   International Journal of Machine Learning and Cybernetics Year: 2024 Vol: 15 (7)Pages: 2935-2955
JOURNAL ARTICLE

Multiple heterogeneous network representation learning based on multi-granularity fusion

Manyi LiuGuoyin WangJun HuKe Chen

Journal:   International Journal of Machine Learning and Cybernetics Year: 2022 Vol: 14 (3)Pages: 817-832
JOURNAL ARTICLE

MGRL: attributed multiplex heterogeneous network representation learning based on multi-granularity information fusion

Ke ChenGuoyin WangShun FuJun HuLi Liu

Journal:   International Journal of Machine Learning and Cybernetics Year: 2022 Vol: 13 (7)Pages: 1891-1906
© 2026 ScienceGate Book Chapters — All rights reserved.