S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.
Qiaoyu Tan|Ninghao Liu|Xiao Huang|Soo-Hyun Choi|Li Li|Rui Chen|Xia Hu
| Anthology ID: | DBLP:conf/wsdm/TanL0CL0H23 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 787-795 |
| URL: | https://doi.org/10.1145/3539597.3570404 |
| DOI: | https://doi.org/10.1145/3539597.3570404 |
| DBLP: | conf/wsdm/TanL0CL0H23 |
| BibTeX: |
@inproceedings{tan-2023-s2gae,
author = {Qiaoyu Tan and
Ninghao Liu and
Xiao Huang and
Soo-Hyun Choi and
Li Li and
Rui Chen and
Xia Hu},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {787--795},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3570404},
doi = {https://doi.org/10.1145/3539597.3570404}
}