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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

Akrati Saxena

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Book Open access Jul 2026

Reproducibility Challenges in Computational Network Science: Evidence, Causes, and Recommendations

Reproducibility is essential for scientific progress, enabling validation, fair comparison, and building upon prior work. In computational network science (CNS), however, reproducibility remains limited due to missing code, inaccessible datasets, and insufficient reporting of experimental details. This paper presents a...

A. Saxena · 0 citations
Review Aug 2026

Fairness-Aware Network Embeddings: Methods, Applications, and Challenges

Network embedding methods learn low-dimensional representations of graph-structured data to support downstream tasks such as node classification, link prediction, and influence maximization. However, real-world networks often reflect structural inequalities arising from demographic imbalances, homophily, and other soci...

E. Has, Harshit Yadav, Gaurav Dixit et al. · 1 citation

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