Sep 10, 2018 · A common class of models constructs a matrix of probabilities, and samples an adjacency matrix by flipping a weighted coin for each entry.

We illustrate a number of useful features of the HyperKron model including non-trivial clustering and highly skewed degree distributions. Finally, we fit the ...

Abstract—In this manuscript we present the HyperKron. Graph model: an extension of the Kronecker Model, but with a distribution over hyperedges.

The HyperKron Graph model is presented: an extension of the Kronecker Model, but with a distribution over hyperedges, and it is proved that it can ...

We illustrate a number of useful features of the HyperKron model including non-trivial clustering and highly skewed degree distributions. Finally, we fit the ...

We illustrate a number of useful features of the HyperKron model including non-trivial clustering and highly skewed degree distributions. Finally, we fit the ...

An in-depth analysis of stochastic Kronecker graphs. J. ACM. (2013). EikmeierNicole et al. The hyperkron graph model for higher-order features. YinHao et al ...

Sep 10, 2018 · For instance, the HyperKron model lacks higher-order clustering. We use the methodology and code presented in Yin et al. [2017] to compute ...

The hyperkron graph model for higher-order features. N Eikmeier, AS Ramani, D Gleich. 2018 IEEE International Conference on Data Mining (ICDM), 941-946, 2018.