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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yicun Liu

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Book Open access Aug 2026

CR-Aug: Community Risk-Guided Adaptive Augmentation for Semi-supervised Graph Anomaly Detection

CR-Aug is proposed, a novel Community Risk-Guided Adaptive Augmentation framework, which is designed to overcome this limitation by leveraging community-specific prior knowledge more effectively, and significantly outperforms state-of-the-art semi-supervised GAD methods.

Jing Huang, Yi-Cun Liu, Zhi-Xin Li et al. · 0 citations
Book Open access Aug 2026

CR-Aug: Community Risk-Guided Adaptive Augmentation for Semi-supervised Graph Anomaly Detection

Recently, semi-supervised graph anomaly detection (GAD) has garnered increasing attention under a challenging setting where only a limited number of normal nodes are labeled during training. To better exploit the limited normal supervision and compensate for the absence of real anomaly labels, existing methods often ad...

Jing Huang, Yicun Liu, Zhixin Li et al. · 0 citations

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