To overcome this limitation of the current heterogeneous graph embedding models, we propose a new model MIGTNet (Metapath Instance-Based Graph Transformation Network), which considers not only metapath instances but also relations between them to learn heterogeneous graph representations. Specifically, ...
Existing models using metapaths, either ignore the metapath context information which describes intermediate nodes along a metapath instance, or only using simple aggregation methods to encode metapath contexts, such as mean or linear methods. To address the problems, we propose Metapath Instance ...
meta‐analysiscardiac risk populations(Sh)MOLLIBackground Although cardiac MR and T1 mapping are increasingly used to diagnose diffuse fibrosis based cardiac diseases, studies reporting T1 values in healthy and diseased myocardium, particular in nonischemic cardiomyopathies (NICM) an...