MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.
Yun Zhu|Haizhou Shi|Zhenshuo Zhang|Siliang Tang
| Anthology ID: | DBLP:conf/www/ZhuSZT24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 300-311 |
| URL: | https://doi.org/10.1145/3589334.3645322 |
| DOI: | https://doi.org/10.1145/3589334.3645322 |
| DBLP: | conf/www/ZhuSZT24 |
| BibTeX: |
@inproceedings{zhu-2024-mario,
author = {Yun Zhu and
Haizhou Shi and
Zhenshuo Zhang and
Siliang Tang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {300--311},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645322},
doi = {https://doi.org/10.1145/3589334.3645322}
}