2024
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
ECCV 2024poster
"Hyperbolic representations have shown remarkable efficacy in modeling inherent hierarchies and complexities within data structures. Hyperbolic neural networks have been commonly applied for learning such representations from data, but they often fall short in preserving the geometric structures of…