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} }