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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

Ze-Kang Bian

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Open access Sep 2026

A Multi-Granularity Broad Fuzzy Apriori Classifier Using Confidence-Weighted Learning

This study proposes a novel multi-granularity broad fuzzy Apriori classifier (MGB-FAC) that addresses the high computational complexity and low generalization capability of FAC while sharing FAC’s high linguistic interpretability and strong uncertainty-handling ability. The basic idea of MGB-FAC is as follows: First, M...

Run-Shan Xie, Ze-Kang Bian, Shi-Dong Xie et al. · 0 citations
Open access Sep 2026

Fuzzy Hypergraph Clustering via Higher-Order Modularity Maximization

Conventional clustering methods mainly characterize cluster structures using geometric proximity or pairwise similarities, which may be insufficient for data with complex higher-order dependencies. This paper proposes a Fuzzy Hypergraph Clustering (FHC) method that transforms ordinary feature data into a data-induced u...

Yi-Chen Sun, Min Wu, Er-Hao Zhou et al. · 0 citations
Jul 2026

A Hybrid Graph Convolutional Network and XGBoost Framework for miRNA–Disease Association Prediction

GCN-XGB is a novel hybrid computational framework that integrates a two-layer Graph Convolutional Network with Extreme Gradient Boosting to improve the accuracy of miRNA-disease association prediction and is suggested to be a powerful and reliable tool for identifying potential disease-related miRNAs and prioritizing c...

Jie Zhou, Pei-Shen Yan, Jia Qu et al. · 0 citations

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