{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:42:04Z","timestamp":1730223724179,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/globalsip.2018.8646348","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T20:33:06Z","timestamp":1552941186000},"page":"723-724","source":"Crossref","is-referenced-by-count":0,"title":["CNN ARCHITECTURES FOR GRAPH DATA"],"prefix":"10.1109","author":[{"given":"Fernando","family":"Gama","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio G.","family":"Marques","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geert","family":"Leus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro","family":"Ribeiro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2469645"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2507546"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2552510"},{"article-title":"Geometric Deep Learning: Going Beyond Euclidean Data","year":"2016","author":"bronstein","key":"ref13"},{"article-title":"Spectral networks and deep locally connected networks on graphs","year":"2014","author":"bruna","key":"ref14"},{"article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","year":"2017","author":"defferrard","key":"ref15"},{"key":"ref16","first-page":"1425","article-title":"Characterization, stability and convergence of hierarhical clustering methods","volume":"11","author":"carlsson","year":"2010","journal-title":"J Mach Learning Res"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.1069883"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1126\/science.1167742","article-title":"Life in the network: The coming age of computational social science","volume":"323","author":"lazer","year":"2009","journal-title":"Science"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2321121"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.230"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"}],"event":{"name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","start":{"date-parts":[[2018,11,26]]},"location":"Anaheim, CA, USA","end":{"date-parts":[[2018,11,29]]}},"container-title":["2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8637665\/8645964\/08646348.pdf?arnumber=8646348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T05:23:08Z","timestamp":1598246588000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8646348\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/globalsip.2018.8646348","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}