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} }