Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.
Yuchen Yan|Peiyan Zhang|Zheng Fang|Qingqing Long
| Anthology ID: | DBLP:conf/www/YanZ0L24 |
|---|---|
| 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: | 4328-4339 |
| URL: | https://doi.org/10.1145/3589334.3645620 |
| DOI: | https://doi.org/10.1145/3589334.3645620 |
| DBLP: | conf/www/YanZ0L24 |
| BibTeX: |
@inproceedings{yan-2024-inductive,
author = {Yuchen Yan and
Peiyan Zhang and
Zheng Fang and
Qingqing Long},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4328--4339},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645620},
doi = {https://doi.org/10.1145/3589334.3645620}
}