2 citations · 4 across the 4 of their papers we have counts for
4 papers
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
J Harry Caufield, Tim Putman, Kevin Schaper +23
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing,…
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa +29
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for dee…
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative
Elena Casiraghi, Rachel Wong, Margaret Hall +34
Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful to assess associations between patients' predictors and outcomes of interest. However…
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
Mauricio Soto-Gomez, Peter Robinson, Carlos Cano +6
Many real-world problems are naturally modeled as heterogeneous graphs, where nodes and edges represent multiple types of entities and relations. Existing learning models for heter…