Abstract: Link prediction for directed graphs is a crucial task with diverse real-world applications. Recent advances in embedding methods and Graph Neural Networks (GNNs) have shown promising ...
Abstract: This work solves the analysis and protocol design problems of the prescribed-time formation-containment (FC) control of double-integrator multi-agent systems (MASs) on directed graphs in the ...
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