GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.
Xinyi Wu|Donald Loveland|Runjin Chen|Yozen Liu|Xin Chen|Leonardo Neves|Ali Jadbabaie|Mingxuan Ju|Neil Shah|Tong Zhao
| Anthology ID: | DBLP:conf/www/WuLCLCNJJS025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 357-369 |
| URL: | https://doi.org/10.1145/3696410.3714910 |
| DOI: | https://doi.org/10.1145/3696410.3714910 |
| DBLP: | conf/www/WuLCLCNJJS025 |
| BibTeX: |
@inproceedings{wu-2025-graphhash,
author = {Xinyi Wu and
Donald Loveland and
Runjin Chen and
Yozen Liu and
Xin Chen and
Leonardo Neves and
Ali Jadbabaie and
Mingxuan Ju and
Neil Shah and
Tong Zhao},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {357--369},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714910},
doi = {https://doi.org/10.1145/3696410.3714910}
}