Approximate Nearest Neighbor Search (ANNS) is a fundamental vector search technique that efficiently identifies similar items in high-dimensional vector spaces. Traditionally, ANNS has served as the ...

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Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries, from ...

Abstract: It seems natural to use the GPUs (Graphical Processing Units) for performing analytics on big graphs, due to the notable boost in high performance computing that their introduction has ...

Abstract: In industrial environments, efficient indoor transportation is a cornerstone of streamlined operations. However, the availability of high-end robotic transportation systems often poses a ...

DIRECTED = np.array([ [0, 1, 1, 0, 0, 0], [0, 0, 0, 1, 1, 0], [0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], ]) #out, probes = graphs ...