most citedThe Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

4 citations · 4 across the 1 of their papers we have counts for

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stat.ME2020★ 4 cited

The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

Konstantinos Pantazis, Avanti Athreya, Jesús Arroyo +3

Spectral inference on multiple networks is a rapidly-developing subfield of graph statistics. Recent work has demonstrated that joint, or simultaneous, spectral embedding of multip…