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Found 2 papers, 1 papers with code
Distribution-Informed Adaptation for kNN Graph Construction
Graph-based kNN algorithms have garnered widespread popularity for machine learning tasks due to their simplicity and effectiveness.
From Cubes to Networks: Fast Generic Model for Synthetic Networks Generation
Analytical explorations on complex networks and cubes (i. e., multi-dimensional datasets) are currently two separate research fields with different strategies.
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