A statistical interpretation of spectral embedding: the generalised random dot product graph. - Patrick Rubin-Delanchy; Carey E. Priebe; Minh Tang; Joshua Cape (CoRR, 2017)

On a 'Two Truths' Phenomenon in Spectral Graph Clustering. - Carey E. Priebe; Youngser Park; Joshua T. Vogelstein; John M. Conroy; Vince Lyzinski; Minh Tang; Avanti Athreya; Joshua Cape; Eric Bridgeford (CoRR, 2018)

On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs. - Joshua Cape; Minh Tang; Carey E. Priebe (Netw. Sci., 2019)

On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. - Cong Mu; Angelo Mele; Lingxin Hao; Joshua Cape; Avanti Athreya; Carey E. Priebe (CoRR, 2020)

Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace. - Jesús Arroyo 001; Avanti Athreya; Joshua Cape; Guodong Chen 003; Carey E. Priebe; Joshua T. Vogelstein (J. Mach. Learn. Res., 2021)

On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates. - Cong Mu; Angelo Mele; Lingxin Hao; Joshua Cape; Avanti Athreya; Carey E. Priebe (IEEE Trans. Netw. Sci. Eng., 2022)

Threshold Selection for Brain Connectomes. - Nicholas D. Theis; Jonathan E. Rubin; Joshua Cape; Satish Iyengar; Konasale M. Prasad (Brain Connect., 2023)

Robust spectral clustering with rank statistics. - Joshua Cape; Xianshi Yu; Jonquil Z. Liao (CoRR, 2024)

On Inference for Modularity Statistics in Structured Networks. - Anirban Mitra; Konasale M. Prasad; Joshua Cape (J. Comput. Graph. Stat., 2024)

Multiple network embedding for anomaly detection in time series of graphs. - Guodong Chen 003; Jesús Arroyo 001; Avanti Athreya; Joshua Cape; Joshua T. Vogelstein; Youngser Park; Christopher M. White; Jonathan Larson; Weiwei Yang 004; Carey E. Priebe (Comput. Stat. Data Anal., 2025)

Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes. - Madison Lewis; Wenlong Jiang; Nicholas D. Theis; Joshua Cape; Konasale M. Prasad (Neural Networks, 2025)

Extreme value theory for singular subspace estimation in the matrix denoising model. - Junhyung Chang; Joshua Cape (CoRR, 2025)