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 ...
This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...
Abstract: The physical constraints of offline counseling and the burden of face-to-face counseling have resulted in a demand for online counseling platforms. Therefore, we propose a psychologi-cal ...
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