Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.
Hao Liu|Jiarui Feng|Lecheng Kong|Dacheng Tao|Yixin Chen|Muhan Zhang
| Anthology ID: | DBLP:conf/www/0007FKTCZ24 |
|---|---|
| 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: | 365-376 |
| URL: | https://doi.org/10.1145/3589334.3645367 |
| DOI: | https://doi.org/10.1145/3589334.3645367 |
| DBLP: | conf/www/0007FKTCZ24 |
| BibTeX: |
@inproceedings{liu-2024-graph,
author = {Hao Liu and
Jiarui Feng and
Lecheng Kong and
Dacheng Tao and
Yixin Chen and
Muhan Zhang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {365--376},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645367},
doi = {https://doi.org/10.1145/3589334.3645367}
}