G2PTL: A Geography-Graph Pre-trained Model.
Lixia Wu|Jianlin Liu|Junhong Lou|Minhui Deng|Jianbin Zheng|Haomin Wen|Chao Song|Shu He
| Anthology ID: | DBLP:conf/cikm/WuLLDZWSH24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4991-4999 |
| URL: | https://doi.org/10.1145/3627673.3680023 |
| DOI: | https://doi.org/10.1145/3627673.3680023 |
| DBLP: | conf/cikm/WuLLDZWSH24 |
| BibTeX: |
@inproceedings{wu-2024-g2ptl,
author = {Lixia Wu and
Jianlin Liu and
Junhong Lou and
Minhui Deng and
Jianbin Zheng and
Haomin Wen and
Chao Song and
Shu He},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{G2PTL: A Geography-Graph Pre-trained Model}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4991--4999},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680023},
doi = {https://doi.org/10.1145/3627673.3680023}
}