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} }