SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
Dongcheng Zou|Hao Peng|Xiang Huang|Renyu Yang|Jianxin Li|Jia Wu|Chunyang Liu|Philip S. Yu
| Anthology ID: | DBLP:conf/www/ZouPHYLWLY23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 499-510 |
| URL: | https://doi.org/10.1145/3543507.3583453 |
| DOI: | https://doi.org/10.1145/3543507.3583453 |
| DBLP: | conf/www/ZouPHYLWLY23 |
| BibTeX: |
@inproceedings{zou-2023-segsl,
author = {Dongcheng Zou and
Hao Peng and
Xiang Huang and
Renyu Yang and
Jianxin Li and
Jia Wu and
Chunyang Liu and
Philip S. Yu},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {499--510},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583453},
doi = {https://doi.org/10.1145/3543507.3583453}
}