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Xin-Sheng Li

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#artificial intelligence Open access Sep 2026

AutoHGNN: Robust and efficient neural architecture search for hypergraph neural networks

This paper proposes AutoHGNN, a neural architecture search framework tailored for hypergraph neural networks, and introduces a Hyper-Interaction Module (HIM) into the search space to address the mismatch between conventional graph neural network designs and hypergraph data.

Sirui Li, Pietro Lio', Xin-Sheng Li et al. · Knowledge-Based Systems · 0 citations