期刊论文

英文

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

2327-4697

2025

12

2

623-635

10.1109/TNSE.2024.3507078

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62025201, 62472159, 62102138, 62472167 and 62321166652) 10.13039/501100004735-Natural Science Foundation of Hunan Province (Grant Number: 2024JJ3014 and 2024JJ5165) 10.13039/501100012226-Fundamental Research Funds for the Central Universities

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Comprehensive network monitoring data is crucial for anomaly detection and network optimization tasks. However, due to factors such as sampling strategies and failures in data transmission or storage, only incomplete monitoring data can be obtained. Traditional techniques for completing network monitoring data matrices have limitations in leveraging network-related features and lack the adaptability required for offline and online execution. In this paper, we introduce a novel approach that significantly improves the integration of network features and operational flexibility in data completio...