Chordless cycle filtrations from topological data analysis combined with a neural network trained on synthetic graphs provide a data-driven estimate of the dimensionality of hyperbolic geometry in complex networks.
Hatcher,Algebraic Topology(Cambridge University Press, 2002)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.soc-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis
Chordless cycle filtrations from topological data analysis combined with a neural network trained on synthetic graphs provide a data-driven estimate of the dimensionality of hyperbolic geometry in complex networks.