Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening.
Zhiqiang Zhao|Ying Zhang|Zhuo Feng
| Anthology ID: | DBLP:conf/wsdm/ZhaoZF21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 869-877 |
| URL: | https://doi.org/10.1145/3437963.3441767 |
| DOI: | https://doi.org/10.1145/3437963.3441767 |
| DBLP: | conf/wsdm/ZhaoZF21 |
| BibTeX: |
@inproceedings{zhao-2021-towards,
author = {Zhiqiang Zhao and
Ying Zhang and
Zhuo Feng},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {869--877},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441767},
doi = {https://doi.org/10.1145/3437963.3441767}
}