A two-level latent-class Poisson tensor model learns both assortative and disassortative mesoscale structure in large hypergraphs and improves heldout link prediction over an assortative-only baseline.
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Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
A two-level latent-class Poisson tensor model learns both assortative and disassortative mesoscale structure in large hypergraphs and improves heldout link prediction over an assortative-only baseline.