Melanie Weber
Melanie Weber
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Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
The problem of identifying geometric structure in heterogeneous, high-dimensional data is a cornerstone of representation learning. …
M. Weber
Preprint
PDF
Project
Video
Forman's Ricci curvature - From networks to hypernetworks
Networks and their higher order generalizations, such as hypernetworks or multiplex networks are ever more popular models in the …
E. Saucan
,
M. Weber
Preprint
PDF
Project
Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data
We consider the problem of learning representations of relational data in spaces of constant sectional curvature, i.e., Euclidean, …
M. Weber
,
M. Nickel
PDF
Project
Detecting the Coarse Geometry of Networks
Clustering and sampling are key methods for the study of relational data. Learning efficient representations of such data relies on the …
M. Weber
,
J. Jost
,
E. Saucan
Preprint
Project
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