Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... The Journal of Machine Learning Research 18 (1), 8393-8484, 2017 | 192 | 2017 |

Community detection and classification in hierarchical stochastic blockmodels V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016 | 141 | 2016 |

A limit theorem for scaled eigenvectors of random dot product graphs A Athreya, CE Priebe, M Tang, V Lyzinski, DJ Marchette, DL Sussman Sankhya A 78, 1-18, 2016 | 111 | 2016 |

Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe | 110 | 2014 |

A semiparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017 | 108 | 2017 |

Inference for multiple heterogeneous networks with a common invariant subspace J Arroyo, A Athreya, J Cape, G Chen, CE Priebe, JT Vogelstein The Journal of Machine Learning Research 22 (1), 6303-6351, 2021 | 78 | 2021 |

A nonparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, CE Priebe | 77 | 2017 |

On a two-truths phenomenon in spectral graph clustering CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ... Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019 | 66 | 2019 |

Propagating Lyapunov functions to prove noise-induced stabilization A Athreya, T Kolba, J Mattingly | 38 | 2012 |

On estimation and inference in latent structure random graphs A Athreya, M Tang, Y Park, CE Priebe | 36 | 2021 |

A central limit theorem for an omnibus embedding of multiple random dot product graphs K Levin, A Athreya, M Tang, V Lyzinski, CE Priebe 2017 IEEE international conference on data mining workshops (icdmw), 964-967, 2017 | 29 | 2017 |

A central limit theorem for an omnibus embedding of random dot product graphs K Levin, A Athreya, M Tang, V Lyzinski, CE Priebe arXiv preprint arXiv:1705.09355, 2017 | 27 | 2017 |

Semiparametric spectral modeling of the Drosophila connectome CE Priebe, Y Park, M Tang, A Athreya, V Lyzinski, JT Vogelstein, Y Qin, ... arXiv preprint arXiv:1705.03297, 2017 | 25 | 2017 |

A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference K Levin, A Athreya, M Tang, V Lyzinski, Y Park, CE Priebe arXiv preprint arXiv:1705.09355, 2017 | 23 | 2017 |

Asymptotic analysis of microtubule-based transport by multiple identical molecular motors SA McKinley, A Athreya, J Fricks, PR Kramer Journal of theoretical biology 305, 54-69, 2012 | 21 | 2012 |

A nonparametric two-sample hypothesis testing problem for random dot product graphs M Tang, A Athreya, DL Sussman, V Lyzinski, CE Priebe arXiv preprint arXiv:1409.2344, 2014 | 14 | 2014 |

On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates C Mu, A Mele, L Hao, J Cape, A Athreya, CE Priebe IEEE Transactions on Network Science and Engineering 9 (5), 3373-3384, 2022 | 8 | 2022 |

The importance of being correlated: Implications of dependence in joint spectral inference across multiple networks K Pantazis, A Athreya, J Arroyo, WN Frost, ES Hill, V Lyzinski Journal of Machine Learning Research 23 (141), 1-77, 2022 | 7 | 2022 |

Multiple network embedding for anomaly detection in time series of graphs G Chen, J Arroyo, A Athreya, J Cape, JT Vogelstein, Y Park, C White, ... arXiv preprint arXiv:2008.10055, 2020 | 6 | 2020 |

Discovering underlying dynamics in time series of networks A Athreya, Z Lubberts, Y Park, CE Priebe arXiv preprint arXiv:2205.06877, 2022 | 3 | 2022 |