Can we Soft Prompt LLMs for Graph Learning Tasks?
Zheyuan Liu|Xiaoxin He|Yijun Tian|Nitesh V. Chawla
| Anthology ID: | DBLP:conf/www/0011H0C24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 481-484 |
| URL: | https://doi.org/10.1145/3589335.3651476 |
| DOI: | https://doi.org/10.1145/3589335.3651476 |
| DBLP: | conf/www/0011H0C24 |
| BibTeX: |
@inproceedings{liu-2024-soft,
author = {Zheyuan Liu and
Xiaoxin He and
Yijun Tian and
Nitesh V. Chawla},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Can we Soft Prompt LLMs for Graph Learning Tasks?}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {481--484},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651476},
doi = {https://doi.org/10.1145/3589335.3651476}
}