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Chun-Ping Li

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Book Open access Aug 2026

HyRES: Measuring Node Influence via Hyperspherical Representation Equilibrium Shift

This work proposes Hyperspherical Representation Equilibrium Shift (HyRES), a theoretically grounded, unsupervised framework that redefines node influence as a geometric displacement within the latent space, and leverages Linear Response Theory to derive a closed-form approximation of the global representation shift ca...

Yan-Tuan Xian, Chun-Ping Li, Hong-Bin Wang et al. · 0 citations
Book Open access Aug 2026

HyRES: Measuring Node Influence via Hyperspherical Representation Equilibrium Shift

Identifying influential nodes in graph-structured data is a fundamental challenge. Traditional metrics ignore non-linear GNN semantics, while deep influence maximization methods require computationally expensive, simulation-based supervision. To bridge the gap between topological analysis and deep representation learni...

Yantuan Xian, Chunping Li, Hongbin Wang et al. · 0 citations

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