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Found 3 papers, 2 papers with code
Deep Learning as Ricci Flow
To illustrate this idea, we present a computational framework to quantify the geometric changes that occur as data passes through successive layers of a DNN, and use this framework to motivate a notion of `global Ricci network flow' that can be used to assess a DNN's ability to disentangle complex data geometries to solve classification problems.
Zoo Guide to Network Embedding
Networks have provided extremely successful models of data and complex systems.
Universal Multilayer Network Exploration by Random Walk with Restart
New analytical and numerical random walk methods are needed to cope with the increasing diversity and complexity of multilayer networks.
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