Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs
A preliminary study of hyperbolic graph representation learning for Mendelian-disease differential diagnosis on a patient-integrated biomedical graph suggests that hyperbolic embeddings can exploit biomedical hierarchical structure while supporting diagnostic reasoning over heterogeneous patient-level graphs.
Pietro Miotto, Lucia Mellini, Tommaso Marzi et al.
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