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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

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Yinglong Zhang

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#machine learning Preprint Sep 2026

PreGS: A Parameter-Transfer-Based Multi-Expert Graph Neural Network for Node Classification

Graph neural networks have achieved strong performance in node classification by aggregating information from graph neighborhoods. However, a single aggregation mechanism may be insufficient to capture diverse structural patterns across graph datasets. Moreover, independently training multiple structural branches can i...

Zhi Cai, Yinglong Zhang, Xiao-Ying Hong et al. · 0 citations
Open access Aug 2026

SimGAT: structure-aware graph attention network with multi-scale structural embedding

SimGAT, a structure-aware graph attention model built on SimRank-derived structural embeddings, is proposed, which computes structural similarity in the SimRank2Vec embedding space and injects it as a topological prior into the graph attention mechanism, enabling neighborhood aggregation to be jointly guided by node at...

Chengda Xu, Yinglong Zhang · 0 citations

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