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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

Zhaojun Luo

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Book Open access Aug 2026

One For All: Achieving Adaptive Graph Neural Networks via Mixture of Message Passing

The message passing mechanism, which updates node representations by exchanging messages with their neighbors, plays a critical role in graph neural networks (GNNs) for capturing structural patterns. Since the single message passing mechanism lacks the flexibility to handle graphs with differing node feature quality, G...

Zhaojun Luo, Jintang Li, Yuchang Zhu et al. · 0 citations
Book Open access Aug 2026

One For All: Achieving Adaptive Graph Neural Networks via Mixture of Message Passing

This work proposes Mixture of Message Passing (MoMP), a novel mechanism that incorporates the Mixture of Experts (MoE) paradigm directly into the message passing mechanism of GNNs, treating different message passing mechanisms as ''experts''.

Zhaojun Luo, Jintang Li, Yuchang Zhu et al. · 0 citations

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