The hierarchical concepts of medical knowledge are also incorporated into the graph to improve contextual understanding. The graph representation facilitates ... We evaluated our approach on a large ...

Abstract: In this paper, we propose a novel graph-based semisupervised learning framework, called joint sparse representation and embedding propagation learning (JSREPL). The idea of JSREPL is to join ...

Here, we present stGuide, an attention-based supervised graph learning model designed ... from the nearest neighbors in the learned representation. Using human dorsolateral prefrontal cortex and ...

maps both query and reference datasets into a shared embedding using a similar graph structure, with slice-specific decoders for graph and feature reconstruction. The reference embedding is learned ...

almost half of all biospecimens listed as ‘endometriosis’ had no representation of true endometriotic disease (59/122, 48.37%). When considering the year of publication, there has been a steady ...