# Joint Gaussian Graphical Model Estimation: A Survey

@article{Tsai2021JointGG, title={Joint Gaussian Graphical Model Estimation: A Survey}, author={Katherine Tsai and Oluwasanmi Koyejo and Mladen Kolar}, journal={ArXiv}, year={2021}, volume={abs/2110.10281} }

Graphs from complex systems often share a partial underlying structure across domains while retaining individual features. Thus, identifying common structures can shed light on the underlying signal, for instance, when applied to scientific discoveries or clinical diagnoses. Furthermore, growing evidence shows that the shared structure across domains boosts the estimation power of graphs, particularly for high-dimensional data. However, building a joint estimator to extract the common structure…

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