%0 Conference Paper %1 perozzi_deepwalk:_2014 %A Perozzi, Bryan %A Al-Rfou, Rami %A Skiena, Steven %B Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14 %C New York, New York, USA %D 2014 %I ACM Press %K thema thema:deep_walk %P 701--710 %R 10.1145/2623330.2623732 %T DeepWalk: online learning of social representations %U http://dl.acm.org/citation.cfm?doid=2623330.2623732 %X We present DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector space, which is easily exploited by statistical models. DeepWalk generalizes recent advancements in language modeling and unsupervised feature learning (or deep learning) from sequences of words to graphs. %@ 978-1-4503-2956-9

@inproceedings{perozzi_deepwalk:_2014, abstract = {We present DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector space, which is easily exploited by statistical models. DeepWalk generalizes recent advancements in language modeling and unsupervised feature learning (or deep learning) from sequences of words to graphs.}, added-at = {2020-10-12T17:05:54.000+0200}, address = {New York, New York, USA}, author = {Perozzi, Bryan and Al-Rfou, Rami and Skiena, Steven}, biburl = {https://www.bibsonomy.org/bibtex/26f91abf7e66309dd5e541b31fab741c9/e.fischer}, booktitle = {Proceedings of the 20th {ACM} {SIGKDD} international conference on {Knowledge} discovery and data mining - {KDD} '14}, doi = {10.1145/2623330.2623732}, file = {Perozzi et al - DeepWalk ~ Online Learning of Social Representations.pdf:C\:\\Users\\Admin\\Documents\\Research\\_Paperbase\\Graph Embeddings\\Perozzi et al - DeepWalk ~ Online Learning of Social Representations.pdf:application/pdf}, interhash = {17b24764eed4264f26c103f4d3d0d869}, intrahash = {6f91abf7e66309dd5e541b31fab741c9}, isbn = {978-1-4503-2956-9}, keywords = {thema thema:deep_walk}, language = {en}, pages = {701--710}, publisher = {ACM Press}, shorttitle = {{DeepWalk}}, timestamp = {2020-10-16T14:25:27.000+0200}, title = {{DeepWalk}: online learning of social representations}, url = {http://dl.acm.org/citation.cfm?doid=2623330.2623732}, urldate = {2019-12-11}, year = 2014 }