4 papers
Hyperbolic Graph Embedders for Link Prediction and Topology Reconstruction
Robert Jankowski, Maksim Kitsak, Dorota Celińska-Kopczyńska
Hyperbolic embeddings provide compact geometric representations of complex networks in hyperbolic spaces, but systematic comparisons of methods developed in machine learning, netwo…
Hyperbolic embeddings for graph compression
Dorota Celinska-Kopczynska, Eryk Kopczynski
Network theoreticians hypothesize that the structure of real-world networks has a geometric origin. Especially, hyperbolic geometry was proven insightful in representing and modeli…
Numerical Aspects of Hyperbolic Geometry
Dorota Celinska-Kopczynska, Eryk Kopczynski
Hyperbolic geometry has recently found applications in social networks, machine learning and computational biology. With the increasing popularity, questions about the best represe…
Non-Euclidean Self-Organizing Maps
Dorota Celińska-Kopczyńska, Eryk Kopczyński
Self-Organizing Maps (SOMs, Kohonen networks) belong to neural network models of the unsupervised class. In this paper, we present the generalized setup for non-Euclidean SOMs. Mos…