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stat.ML2025
Testing for correlation between network structure and high-dimensional node covariates
Alexander Fuchs-Kreiss, Keith Levin
In many application domains, networks are observed with node-level features. In such settings, a common problem is to assess whether or not nodal covariates are correlated with the…
stat.ME2025
Testing for Repeated Motifs and Hierarchical Structure in Stochastic Blockmodels
Al-Fahad Al-Qadhi, Keith Levin, Vincent Lyzinski
The rise in complexity of network data in neuroscience, social networks, and protein-protein interaction networks has been accompanied by several efforts to model and understand th…
cs.SI2025
Identifying rich clubs in spatiotemporal interaction networks
Jacob Kruse, Song Gao, Yuhan Ji +3
Spatial networks are widely used in various fields to represent and analyze interactions or relationships between locations or spatially distributed entities.There is a network sci…