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} }