The Approach of k-Leader Selection in Undirected Graphs on Maximizing the Consensus Convergence Rate
Abstract: This paper undertakes an in-depth study and detailed analysis of the problem of the optimal selection of k leaders for a first-order leader-follower multi-agent system (MAS) whose ...
K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...
But will 2026 be a happy year for the republic? It will be a crucial one. I don’t think it’s much of an exaggeration to cite Alexander Hamilton in Federalist No. 1: In “the crisis at which we are ...
The final week of the NFL regular season is here, and it should be a wild one. Heading into Week 18, there are only two playoff spots up for grabs, but there should still be plenty of drama. With just ...
Abstract: Knowledge graphs (KGs) possess a vital role in enhancing the semantic comprehension of extensive datasets across many fields. It facilitate activities like recommendation systems, semantic ...
The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...
Even after losing back-to-back games, including Saturday night's meltdown at Soldier Field, the Green Bay Packers remain in a strong spot in terms of making the postseason field in the NFC. Matt ...
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