Graphon Estimation
5 papers with code • 0 benchmarks • 1 datasets
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Latest papers
Joint Network Topology Inference via a Shared Graphon Model
The proposed joint network and graphon estimation is further enhanced with the introduction of a robust method for noisy graph sampling information.
Graphon-aided Joint Estimation of Multiple Graphs
We consider the problem of estimating the topology of multiple networks from nodal observations, where these networks are assumed to be drawn from the same (unknown) random graph model.
Graphon Estimation from Partially Observed Network Data
We consider estimating the edge-probability matrix of a network generated from a graphon model when the full network is not observed---only some overlapping subgraphs are.
Estimating network edge probabilities by neighborhood smoothing
The estimation of probabilities of network edges from the observed adjacency matrix has important applications to predicting missing links and network denoising.
On semidefinite relaxations for the block model
We put ours and previously proposed SDPs in a unified framework, as relaxations of the MLE over various sub-classes of the SBM, revealing a connection to sparse PCA.