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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

Shuo Yu

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2 papers indexed here

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Sep 2026

Semantic-Aware Heterogeneous Graph Learning for Fake News Detection.

While heterogeneous graph learning (HGL) is a promising approach for fake news detection, current methods struggle to capture complex relationships among neighborhoods due to their reliance on binary interactions. This limitation can lead to missed critical information and jeopardize performance. We address this issue...

Shuo Yu, Yu-Peng Gao, Jing Ren et al. · 0 citations
Conference Open access Sep 2026

BrainCGT: A Brain Graph Transformer for Modeling Causal Connectivity in Neurological Disorder Diagnosis

Experimental results on three large-scale fMRI datasets demonstrate that BrainCGT achieves consistently better performance than existing graph-based methods for neurological disorder classification, highlighting the importance of incorporating causal directionality into brain graph transformer architectures for robust...

Ahsan Shehzad, Dong-Yu Zhang, Shagufta Abid et al. · 0 citations

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