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#graph neural networks Open access Sep 2026

Synergizing large and small models in cloud-edge continuum: a spatiotemporal hypergraph approach for dynamic offloading

This paper proposes a spatiotemporal hypergraph-driven framework integrating high-order topological feature extraction with dynamic resource modeling, and introduces dynamic hypergraph sequences to naturally encompass local conflict domains, mitigating the topological blind spots and “over-smoothing” issues inherent in traditional pairwise graphs.

Kun Ding, Xi-Wen Qiu, Nian-Feng Weng et al. · 0 citations

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