Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.
Zixu Wang|Bingbing Xu|Yige Yuan|Huawei Shen|Xueqi Cheng
| Anthology ID: | DBLP:conf/sigir/WangXYSC24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2548-2552 |
| URL: | https://doi.org/10.1145/3626772.3657927 |
| DOI: | https://doi.org/10.1145/3626772.3657927 |
| DBLP: | conf/sigir/WangXYSC24 |
| BibTeX: |
@inproceedings{wang-2024-negative,
author = {Zixu Wang and
Bingbing Xu and
Yige Yuan and
Huawei Shen and
Xueqi Cheng},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {2548--2552},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657927},
doi = {https://doi.org/10.1145/3626772.3657927}
}