2839355
doi
10.5281/zenodo.2839355
oai:zenodo.org:2839355
Perraudin, Nathanaƫl
SDSC
DeepSphere: towards an equivariant graph-based spherical CNN (ICLR'19 RLGM workshop poster)
Defferrard, Michaƫl
EPFL
arxiv:arXiv:1904.05146
url:https://github.com/SwissDataScienceCenter/DeepSphere
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
graph neural networks
geometric deep learning
spherical neural networks
equivariance
<p>Poster presented at the Representation Learning on Graphs and Manifolds (https://rlgm.github.io) workshop at ICLR'19.</p>
Zenodo
2019-05-06
info:eu-repo/semantics/conferencePoster
2839354
1579540551.524597
4100860
md5:d744d2b0af46311717393c562331b6ec
https://zenodo.org/records/2839355/files/deepsphere_poster_v5.pdf
public
arXiv:1904.05146
Is supplemented by
arxiv
https://github.com/SwissDataScienceCenter/DeepSphere
Is supplemented by
url
10.5281/zenodo.2839354
isVersionOf
doi