Researchers have introduced SUN, an unsupervised method that combines stable intervals and approximate silhouette ranking to standardize Louvain clustering resolution ...
Researchers have developed a two-layer neural network that solves metric multidimensional scaling orders of magnitude faster than traditional algorithms, scaling ...
Computer scientists have developed DyGraphSage, an enhanced graph neural network framework that combines GraphSAGE with temporal recurrent units and adaptive ...
A sequence-clustering framework applied to longitudinal electronic health records uncovered five distinct pre-surgical care pathways with varying progression timelines and ...
Researchers have developed CLMSynth, an open-source Python package that generates synthetic labels with precisely controlled agreement to known cluster structures, ...
A new graph neural network study of spatial transcriptomics finds that attention mechanisms, not elaborate edge features, drive accurate identification ...
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