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 ...
In this manuscript we present the HyperKron Graph model: an extension of the Kronecker Model, but with a distribution over hyperedges.
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.
The HyperKron Graph Model for higher-order features. IEEE International Conference on Data Mining (ICDM), 2018. · Development of CNNs for feature extraction.