794 citations · 896 across the 13 of their papers we have counts for
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cs.LG2020★ 3 cited
Can neural networks learn persistent homology features?
Guido Montúfar, Nina Otter, Yuguang Wang
Topological data analysis uses tools from topology -- the mathematical area that studies shapes -- to create representations of data. In particular, in persistent homology, one stu…
cs.SI2020★ 3 cited
A unified framework for equivalences in social networks
Nina Otter, Mason A. Porter
A key concern in network analysis is the study of social positions and roles of actors in a network. The notion of "position" refers to an equivalence class of nodes that have simi…