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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

Ming-Qi Yang

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#graph neural networks Sep 2026

Fair Graph Learning Needs Expressiveness: Rethinking Fairness from the Spectral Perspective

It is formally proved that GNN architectures lacking spectral expressiveness impose strict constraints on the representation space, so that harmful linear correlations between sensitive attributes and target prediction logits are preserved whenever a low-expressive backbone is paired with a debiasing operator acting wi...

Ming-Qi Yang, Zhao-Yu Liu · 0 citations
#machine learning Preprint Sep 2026

LoGIC: Budgeted Context Construction for Node-Level Graph In-Context Learning with Tabular Foundation Models

This work investigates context construction for node-level graph ICL: which labeled nodes and auxiliary unlabeled nodes should constitute the prompt for specified queries, and identifies when retrieval channels work best and connects their behavior with graph properties.

Ming-Qi Yang, Zi-Dong-Wei-Zhi-Yuan-He-Tongtang Guo, Ji-Hui Yang et al. · 0 citations

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