A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings

Scholkemper, Michael; Kampa, Björn M.; Schaub, Michael Thomas; Nabbefeld, Gerion; Musall, Simon Fritjof; Kühn, Damin Wito

doi:979-8-3503-4486-8

A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings

Scholkemper, Michael^RWTH* ; Kühn, Damin Wito^RWTH* ; Nabbefeld, Gerion^RWTH* ; Musall, Simon Fritjof^RWTH* ; Kampa, Björn M.^RWTH* ; Schaub, Michael Thomas^RWTH*

In
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : 14-19 April 2024, COEX, Seoul, Korea / sponsored by: the Institute of Electrical and Electronics Engineers, Signal Processing Society ; general chair: Hanseok Ko (Korea Univ., Korea) ; publication chair: Hajin Yu (Univ. of Seoul, Korea), Jeongsik Park (HUFS, Korea), Seiten/Artikel-Nr: 9751-9755

2024

Konferenz/Event:49. IEEE International Conference on Acoustics, Speech, and Signal Processing , Seoul , South Korea , ICASSP 2024 , 2024-04-14 - 2024-04-19

ImpressumPiscataway, NJ : IEEE

Umfang9751-9755

ISBN979-8-3503-4485-1, 979-8-3503-4486-8, 9798350344851, 9798350344868