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L. Tupikina

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#machine learning Review Jun 2025

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods

A two-dimensional taxonomy is proposed: the first dimension categorises models based on their methodology, including translation-based models, tensor factorisation-based models, deep neural network-based models, logic rule-based models, and hyperedge expansion-based models, and hyperedge expansion-based models.

Xiao-Huan Lu, L. Tupikina, Mehwish Alam · 1 citation
Open access Jul 2026

Topological measures in weighted hypergraphs

This work generalizes three distance-based topological measures, namely closeness centrality, betweenness centrality and node eccentricity, using this new hypergraph distance, and shows that hypergraphs can be divided into three distinct classes, corresponding to the possible dominance of specific orders of interaction...

E. Vasil'yeva, L. Tupikina, D. Musatov et al. · 0 citations

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