Hyperbolic graph neural network techniques exploit the properties of hyperbolic geometry to model complex networks that exhibit hierarchical, scale-free or tree-like structure. In contrast to ...
Hyperbolic models are known to produce networks with properties observed empirically in most network datasets, including heavy-tailed degree distribution, high clustering, and hierarchical structures.
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