Joshua Cape

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes.
Neural Networks
Madison Lewis, Wenlong Jiang, Nicholas D. Theis, Joshua Cape, Konasale M. Prasad
2025 J jnl
Extreme value theory for singular subspace estimation in the matrix denoising model.
CoRR
Junhyung Chang, Joshua Cape
2025 J jnl
Multiple network embedding for anomaly detection in time series of graphs.
Comput. Stat. Data Anal.
Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Christopher M. White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
2024 J jnl
On Inference for Modularity Statistics in Structured Networks.
J. Comput. Graph. Stat.
Anirban Mitra, Konasale M. Prasad, Joshua Cape
2024 J jnl
Robust Spectral Clustering with Rank Statistics.
J. Mach. Learn. Res.
Joshua Cape, Xianshi Yu, Jonquil Z. Liao
2024 J jnl
Robust spectral clustering with rank statistics.
CoRR
Joshua Cape, Xianshi Yu, Jonquil Z. Liao
2023 J jnl
Threshold Selection for Brain Connectomes.
Brain Connect.
Nicholas D. Theis, Jonathan E. Rubin, Joshua Cape, Satish Iyengar, Konasale M. Prasad
2022 J jnl
On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates.
IEEE Trans. Netw. Sci. Eng.
Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe
2021 J jnl
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.
J. Mach. Learn. Res.
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
2020 J jnl
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.
CoRR
Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe
2019 J jnl
Inference for multiple heterogeneous networks with a common invariant subspace.
CoRR
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
2019 J jnl
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs.
Netw. Sci.
Joshua Cape, Minh Tang, Carey E. Priebe
2018 J jnl
On a 'Two Truths' Phenomenon in Spectral Graph Clustering.
CoRR
Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, Eric Bridgeford
2017 J jnl
A statistical interpretation of spectral embedding: the generalised random dot product graph.
CoRR
Patrick Rubin-Delanchy, Carey E. Priebe, Minh Tang, Joshua Cape