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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

Mengtao Duan

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Open access Aug 2026

CGCLER: Causality-Enhanced Graph Contrastive Learning for Explainable Recommendation

Cusality-enhanced Graph Contrastive Learning for Explainable Recommendation (CGCLER) is proposed, which enables item–explanation joint ranking by distinguishing causal and confounding features at the graph-node representation level and introduces a backdoor-inspired graph contrastive learning objective.

Ying Guan, Zhiwen Yang, Mengtao Duan · 0 citations

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