SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning.
Chenxu Wang|Xichan Nie|Jinfeng Chen|Pinghui Wang|Junzhou Zhao|Xiaohong Guan
| Anthology ID: | DBLP:conf/www/WangNCWZG24 |
|---|---|
| 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: | 618-628 |
| URL: | https://doi.org/10.1145/3589334.3645466 |
| DOI: | https://doi.org/10.1145/3589334.3645466 |
| DBLP: | conf/www/WangNCWZG24 |
| BibTeX: |
@inproceedings{wang-2024-smug,
author = {Chenxu Wang and
Xichan Nie and
Jinfeng Chen and
Pinghui Wang and
Junzhou Zhao and
Xiaohong Guan},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {618--628},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645466},
doi = {https://doi.org/10.1145/3589334.3645466}
}