• Corpus ID: 237431452

Dynamic Network Regression

@inproceedings{Zhou2021DynamicNR,
  title={Dynamic Network Regression},
  author={Yidong Zhou and Hans-Georg Muller},
  year={2021}
}
Network data are increasingly available in various research fields, motivating statistical analysis for populations of networks where a network as a whole is viewed as a data point. Due to the non-Euclidean nature of networks, basic statistical tools available for scalar and vector data are no longer applicable when one aims to relate networks as outcomes to Euclidean covariates, while the study of how a network changes in dependence on covariates is often of paramount interest. This motivates… 
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Clustered Graph Matching for Label Recovery and Graph Classification
—Given a collection of vertex-aligned networks and an additional label-shuffled network, we propose procedures for leveraging the signal in the vertex-aligned collection to recover the labels of the…

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