Search Results for author: Joshua Cape

Found 6 papers, 3 papers with code

Spectral embedding and the latent geometry of multipartite networks

1 code implementation8 Feb 2022 Alexander Modell, Ian Gallagher, Joshua Cape, Patrick Rubin-Delanchy

Spectral embedding finds vector representations of the nodes of a network, based on the eigenvectors of its adjacency or Laplacian matrix, and has found applications throughout the sciences.

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

1 code implementation23 Aug 2020 Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe

We examine two related, complementary inference tasks: the detection of anomalous graphs within a time series, and the detection of temporally anomalous vertices.

Methodology

On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates

1 code implementation4 Jul 2020 Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe

In network inference applications, it is often desirable to detect community structure, namely to cluster vertices into groups, or blocks, according to some measure of similarity.

Community Detection

Spectral inference for large Stochastic Blockmodels with nodal covariates

no code implementations18 Aug 2019 Angelo Mele, Lingxin Hao, Joshua Cape, Carey E. Priebe

In many applications of network analysis, it is important to distinguish between observed and unobserved factors affecting network structure.

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