Granular-ball computing-based manifold clustering algorithms for ultra-scalable data
PulseAugur coverage of Granular-ball computing-based manifold clustering algorithms for ultra-scalable data — every cluster mentioning Granular-ball computing-based manifold clustering algorithms for ultra-scalable data across labs, papers, and developer communities, ranked by signal.
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New adaptive KNN classifier uses granular ball computing for efficiency
Researchers have developed a novel adaptive k-Nearest Neighbors (KNN) classifier using granular ball computing. This method involves a two-stage process: first, the dataset is partitioned into granular balls, with the F…
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SCGNN introduces granular-ball computing for scalable graph representation learning
Researchers have introduced SCGNN, a novel framework designed to enhance graph neural networks by improving the capture of semantic consistency among nodes. This approach utilizes granular-ball computing (GBC) to effici…