DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks.
Aravind Sankar|Yanhong Wu|Liang Gou|Wei Zhang|Hao Yang
| Anthology ID: | DBLP:conf/wsdm/SankarWGZY20 |
|---|---|
| Volume: | WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 |
| Year: | 2020 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 519-527 |
| URL: | https://doi.org/10.1145/3336191.3371845 |
| DOI: | https://doi.org/10.1145/3336191.3371845 |
| DBLP: | conf/wsdm/SankarWGZY20 |
| BibTeX: |
@inproceedings{sankar-2020-dysat,
author = {Aravind Sankar and
Yanhong Wu and
Liang Gou and
Wei Zhang and
Hao Yang},
editor = {James Caverlee and
Xia Ben Hu and
Mounia Lalmas-Roelleke and
Wei Wang},
title = {{DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks}},
booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}},
pages = {519--527},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3336191.3371845},
doi = {https://doi.org/10.1145/3336191.3371845}
}