89 citations · 430 across the 37 of their papers we have counts for
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stat.ML2017★ 49 cited
From Distance Correlation to Multiscale Graph Correlation
Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein
Understanding and developing a correlation measure that can detect general dependencies is not only imperative to statistics and machine learning, but also crucial to general scien…
stat.ME2017★ 4 cited
Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
Youjin Lee, Cencheng Shen, Carey E. Priebe +1
Deciphering the associations between network connectivity and nodal attributes is one of the core problems in network science. The dependency structure and high-dimensionality of n…