A consistent estimator for the correlation parameter alpha is constructed for a new model of correlated uniform attachment trees as their size tends to infinity.
and Hajek, B
4 Pith papers cite this work. Polarity classification is still indexing.
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The paper characterizes exact and partial recovery thresholds in the featured correlated Gaussian Wigner model and proposes the QPAlign quadratic programming algorithm with theoretical guarantees.
Proves all-or-nothing exact alignment threshold in Gaussian multi-graph model and partial alignment impossibility threshold in sparse ER model, via a Bayesian estimation framework over metric spaces.
Develops a tree-correlation algorithm for diffusion-network alignment with high-probability correctness guarantees and explicit depth-dependent probability bounds in sparse graphs.
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Correlated uniform attachment trees
A consistent estimator for the correlation parameter alpha is constructed for a new model of correlated uniform attachment trees as their size tends to infinity.
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Attributed Network Alignment: Statistical Limits and Efficient Algorithm
The paper characterizes exact and partial recovery thresholds in the featured correlated Gaussian Wigner model and proposes the QPAlign quadratic programming algorithm with theoretical guarantees.
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The feasibility of multi-graph alignment: a Bayesian approach
Proves all-or-nothing exact alignment threshold in Gaussian multi-graph model and partial alignment impossibility threshold in sparse ER model, via a Bayesian estimation framework over metric spaces.
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Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds
Develops a tree-correlation algorithm for diffusion-network alignment with high-probability correctness guarantees and explicit depth-dependent probability bounds in sparse graphs.