Generative modelling and inverse problem solving for networks in hyperbolic space
The investigation of the latent geometrical space behind complex network topologies is a fervid topic in current network science and the hyperbolic space is one of the most studied, because it seems associated to the structural organization of many real complex systems. The popularity-similarity-opt...
|Authors and Corporations:||,|
|Title:||Generative modelling and inverse problem solving for networks in hyperbolic space|
|Type of Resource:||Electronic Thesis|
Dresden Technische Universität Dresden 2019