Das Paper gibt Einblick in eine aktuelle Methode die den Random Walk Ansatz von DeepWalk weiter nutzt.
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%0 Conference Paper
%1 epasto2019single
%A Epasto, Alessandro
%A Perozzi, Bryan
%B The World Wide Web Conference
%D 2019
%K
%P 394--404
%T Is a single embedding enough? learning node representations that capture multiple social contexts
@inproceedings{epasto2019single,
added-at = {2020-06-09T09:18:11.000+0200},
author = {Epasto, Alessandro and Perozzi, Bryan},
biburl = {https://www.bibsonomy.org/bibtex/2732f4d1b2a2b36d330a52175ebd327a1/timuw},
booktitle = {The World Wide Web Conference},
interhash = {b645e8eb0740a608b57b5bfd93ac8bd5},
intrahash = {732f4d1b2a2b36d330a52175ebd327a1},
keywords = {},
pages = {394--404},
timestamp = {2020-06-09T09:18:11.000+0200},
title = {Is a single embedding enough? learning node representations that capture multiple social contexts},
year = 2019
}