Presentation Open Access
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Defferrard, Michaël</dc:creator> <dc:date>2017-09-07</dc:date> <dc:description>Presentation at the Deep Learning on Irregular Domain (DLID) workshop (https://bmvc2017.london/dlid/), part of the 28th British Machine Vision Conference (BMVC).</dc:description> <dc:identifier>https://zenodo.org/record/1318400</dc:identifier> <dc:identifier>10.5281/zenodo.1318400</dc:identifier> <dc:identifier>oai:zenodo.org:1318400</dc:identifier> <dc:relation>arxiv:arXiv:1606.09375</dc:relation> <dc:relation>arxiv:arXiv:1612.07659</dc:relation> <dc:relation>url:https://github.com/mdeff/cnn_graph</dc:relation> <dc:relation>url:https://github.com/youngjoo-epfl/gconvRNN</dc:relation> <dc:relation>doi:10.6084/m9.figshare.5394805.v1</dc:relation> <dc:relation>doi:10.5281/zenodo.1318399</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:subject>deep learning</dc:subject> <dc:subject>graphs</dc:subject> <dc:subject>graph signal processing</dc:subject> <dc:title>Deep Learning on Graphs (DLID'17)</dc:title> <dc:type>info:eu-repo/semantics/lecture</dc:type> <dc:type>presentation</dc:type> </oai_dc:dc>
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