• Classification in biological networks with hypergraphlet kernels

    23 days ago - By Oxford Journals

    AbstractBiological and cellular systems are often modeled as graphs in which vertices represent objects of interest and edges represent relational ties between these objects. This approach has been highly successful owing to the theory, methodology and software that support analysis and learning on graphs. Graphs, however, suffer from information loss when modeling physical systems due to their inability to accurately represent multi-object relationships. Hypergraphs, a generalization of graphs, provide a framework to mitigate information loss and unify disparate graph-based methodologies...
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