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Found 2 papers, 1 papers with code
Community detection over a heterogeneous population of non-aligned networks
Clustering and community detection with multiple graphs have typically focused on aligned graphs, where there is a mapping between nodes across the graphs (e. g., multi-view, multi-layer, temporal graphs).
Multi-level hypothesis testing for populations of heterogeneous networks
Current approaches to hypothesis testing for weighted networks typically requires thresholding the edge-weights, to transform the data to binary networks.
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