Abstract: Knowledge graphs have been widely used in various domains such as intelligent question answering, information retrieval, transportation, medicine, e-commerce, and others, and have achieved ...
Abstract: The state-of-the-art quadratic-program-based control Lyapunov-barrier function (QP-CLBF) is a powerful control approach to balance safety and stability in an optimal fashion. However, under ...
This repository contains an adaptation of Graph Matching Networks (GMN) for linguistic dependency trees, focused on natural language inference (NLI) and semantic similarity tasks. The idea is to ...
This is the repository illustrating how we label the inlined call sites, train the classifier for ICS prediction, and generate SFSs for binary2source matching. run 0 ...
According to @godofprompt, graph databases offer superior efficiency for dynamic updates in AI-powered knowledge bases compared to traditional vector search methods. When using vector search, any ...
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