Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
Chu Zhao|Enneng Yang|Yuliang Liang|Jianzhe Zhao|Guibing Guo|Xingwei Wang
| Anthology ID: | DBLP:conf/www/ZhaoYLZG025 |
|---|---|
| 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: | 2018-2031 |
| URL: | https://doi.org/10.1145/3696410.3714848 |
| DOI: | https://doi.org/10.1145/3696410.3714848 |
| DBLP: | conf/www/ZhaoYLZG025 |
| BibTeX: |
@inproceedings{zhao-2025-distributionally,
author = {Chu Zhao and
Enneng Yang and
Yuliang Liang and
Jianzhe Zhao and
Guibing Guo and
Xingwei Wang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2018--2031},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714848},
doi = {https://doi.org/10.1145/3696410.3714848}
}