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cs.LG2023★ 1 cited
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu, Dongmian Zou
Learning representations according to the underlying geometry is of vital importance for non-Euclidean data. Studies have revealed that the hyperbolic space can effectively embed h…
cs.LG2022★ 2 cited
Autoencoding Hyperbolic Representation for Adversarial Generation
Eric Qu, Dongmian Zou
With the recent advance of geometric deep learning, neural networks have been extensively used for data in non-Euclidean domains. In particular, hyperbolic neural networks have pro…