Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving.
Zhezheng Hao|Haonan Xin|Long Wei|Liaoyuan Tang|Rong Wang|Feiping Nie
| Anthology ID: | DBLP:conf/www/HaoXWT0024 |
|---|---|
| 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: | 322-333 |
| URL: | https://doi.org/10.1145/3589334.3645327 |
| DOI: | https://doi.org/10.1145/3589334.3645327 |
| DBLP: | conf/www/HaoXWT0024 |
| BibTeX: |
@inproceedings{hao-2024-towards,
author = {Zhezheng Hao and
Haonan Xin and
Long Wei and
Liaoyuan Tang and
Rong Wang and
Feiping Nie},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {322--333},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645327},
doi = {https://doi.org/10.1145/3589334.3645327}
}