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} }