Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches.
Longlong Lin|Zeli Wang|Rong-Hua Li|Xiaohai Dai|Li Ni|Jin Zhao
| Anthology ID: | DBLP:conf/www/LinWLDNZ26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 559-570 |
| URL: | https://doi.org/10.1145/3774904.3792116 |
| DOI: | https://doi.org/10.1145/3774904.3792116 |
| DBLP: | conf/www/LinWLDNZ26 |
| BibTeX: |
@inproceedings{lin-2026-scalable,
author = {Longlong Lin and
Zeli Wang and
Rong-Hua Li and
Xiaohai Dai and
Li Ni and
Jin Zhao},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {559--570},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792116},
doi = {https://doi.org/10.1145/3774904.3792116}
}