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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

Hongyan Wang

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Open access Jul 2026

IPGMVL: based on interactive progressive graph convolution with multi-view learning traffic flow forecasting.

Experimental results demonstrate IPGMVL's superior performance across four benchmark datasets, establishing new state-of-the-art standards while maintaining computational efficiency, highlighting the importance of dynamic graph adaptation and interactive learning in traffic prediction systems.

Hongyan Wang, Lin-Long Chen · 0 citations
Open access Jul 2026

Tensor-evolving graph with temporal separation network for traffic flow forecasting

A Tensor-Evolving Graph with Temporal Separation Network (TEG-TSNet) for traffic flow forecasting is proposed, which constructs a unified spatial prior via graph Laplacian spectral embedding and introduces a time-conditioned structure generation paradigm.

Hongyan Wang, Linlong Chen · 0 citations

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