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pro vyhledávání: '"Adrian Ziegler"'
Autor:
Adrian Ziegler, Yuki M. Asano
Progress in self-supervised learning has brought strong general image representation learning methods. Yet so far, it has mostly focused on image-level learning. In turn, tasks such as unsupervised image segmentation have not benefited from this tren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67a715e04f9d8a03472cdee805518fb6
Autor:
Adrian Ziegler, Laurenz Seidel, Davide Mottin, Nikola Müller, Michael Hunger, Michael Vaichenker, Pius Ladenburger, Julius Rückin, Fatemeh Aghaei, Sebastian Bischoff, Freya Behrens, Emmanuel Müller, Fabian Stolp, Martin Preusse
Publikováno v:
WWW (Companion Volume)
We present MetaExp, a system that assists the user during the exploration of large knowledge graphs, given two sets of initial nodes. At its core, MetaExp presents a small set of meta-paths to the user, which are sequences of relationships among node
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c96467619fbc59374ffcb3bcac2be55
https://doi.org/10.1145/3184558.3186978
https://doi.org/10.1145/3184558.3186978
