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- W3131561005 abstract "The hidden ancestor graph is a new stochastic model for a vertex-labelled multigraph $G$ in which the observable vertices are the leaves $L$ of a random rooted tree $T$, whose edges and non-leaf nodes are hidden. The likelihood of an edge in $G$ between two vertices in $L$ depends on the height of their lowest common ancestor in $T$. The label of a vertex $v in L$ depends on a randomized label inheritance mechanism within $T$ such that vertices with the same parent often have the same label. High label assortativity, high average local clustering, heavy tailed vertex degree distribution, and sparsity, can all coexist in this model. The agreement edges (end point labels agree) and the conflict edges (end point labels differ) constitute complementary subgraphs, useful for testing anomaly correction algorithms. Instances with a hundred million edges can easily be built on a workstation in minutes." @default.
- W3131561005 created "2021-03-01" @default.
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- W3131561005 date "2021-02-18" @default.
- W3131561005 modified "2023-09-27" @default.
- W3131561005 title "Hidden Ancestor Graphs with Assortative Vertex Attributes" @default.
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