AI RESEARCH
Structural Controllability of Large-Scale Hypergraphs
arXiv CS.LG
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ArXi:2603.19955v1 Announce Type: cross Controlling real-world networked systems, including ecological, biomedical, and engineered networks that exhibit higher-order interactions, remains challenging due to inherent nonlinearities and large system scales. Despite extensive studies on graph controllability, the controllability properties of hypergraphs remain largely underdeveloped. Existing results focus primarily on exact controllability, which is often impractical for large-scale hypergraphs.