GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.
Yucheng Shi|Yushun Dong|Qiaoyu Tan|Jundong Li|Ninghao Liu
| Anthology ID: | DBLP:conf/cikm/ShiDTLL23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2259-2269 |
| URL: | https://doi.org/10.1145/3583780.3614894 |
| DOI: | https://doi.org/10.1145/3583780.3614894 |
| DBLP: | conf/cikm/ShiDTLL23 |
| BibTeX: |
@inproceedings{shi-2023-gigamae,
author = {Yucheng Shi and
Yushun Dong and
Qiaoyu Tan and
Jundong Li and
Ninghao Liu},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2259--2269},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614894},
doi = {https://doi.org/10.1145/3583780.3614894}
}