Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts.
Alessandro Epasto|Bryan Perozzi
| Anthology ID: | DBLP:conf/www/EpastoP19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 394-404 |
| URL: | https://doi.org/10.1145/3308558.3313660 |
| DOI: | https://doi.org/10.1145/3308558.3313660 |
| DBLP: | conf/www/EpastoP19 |
| BibTeX: |
@inproceedings{epasto-2019-single,
author = {Alessandro Epasto and
Bryan Perozzi},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {394--404},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313660},
doi = {https://doi.org/10.1145/3308558.3313660}
}