logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Feature structure co-optimized augmented network for graph anomaly detection

delete2026-02-02
delete0
PRE
AI
Y
Yingyue Zhang
马
马慧芳 (Huifang Ma) *
R
Rui Bing
M
Meihuizi Jia
X
Xiaofei Wang
DOI：10.1016/j.ipm.2026.104661delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Propose a spectral contribution-based feature selection method grounded in theoretical analysis. • Identify informative features by leveraging their spectral contributions, mitigating feature redundancy in graph data. • Optimize graph structure via targeted edge deletion and augmentation, reducing structural noise.

Journal

I
INFORMATION PROCESSING & MANAGEMENT
IF:
6.9
Papers:
318
Citations:
0

Organization

No organization information available