Poster Open Access

DeepSphere: towards an equivariant graph-based spherical CNN (ICLR'19 RLGM workshop poster)

Defferrard, Michaël; Perraudin, Nathanaël


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{
  "description": "<p>Poster presented at the Representation Learning on Graphs and Manifolds (https://rlgm.github.io) workshop at ICLR&#39;19.</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "EPFL", 
      "@id": "https://orcid.org/0000-0002-6028-9024", 
      "@type": "Person", 
      "name": "Defferrard, Micha\u00ebl"
    }, 
    {
      "affiliation": "SDSC", 
      "@id": "https://orcid.org/0000-0001-8285-1308", 
      "@type": "Person", 
      "name": "Perraudin, Nathana\u00ebl"
    }
  ], 
  "url": "https://zenodo.org/record/2839355", 
  "datePublished": "2019-05-06", 
  "keywords": [
    "graph neural networks", 
    "geometric deep learning", 
    "spherical neural networks", 
    "equivariance"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.2839355", 
  "@id": "https://doi.org/10.5281/zenodo.2839355", 
  "@type": "CreativeWork", 
  "name": "DeepSphere: towards an equivariant graph-based spherical CNN (ICLR'19 RLGM workshop poster)"
}
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