A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification.
Yonghao Liu|Lan Huang|Bowen Cao|Ximing Li|Fausto Giunchiglia|Xiaoyue Feng|Renchu Guan
| Anthology ID: | DBLP:conf/www/Liu0CLGFG24 |
|---|---|
| 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: | 4249-4259 |
| URL: | https://doi.org/10.1145/3589334.3645587 |
| DOI: | https://doi.org/10.1145/3589334.3645587 |
| DBLP: | conf/www/Liu0CLGFG24 |
| BibTeX: |
@inproceedings{liu-2024-simple,
author = {Yonghao Liu and
Lan Huang and
Bowen Cao and
Ximing Li and
Fausto Giunchiglia and
Xiaoyue Feng and
Renchu Guan},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4249--4259},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645587},
doi = {https://doi.org/10.1145/3589334.3645587}
}