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} }