Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network.
Huaming Wu|Lei Tian|Chaogang Tang|Pengfei Jiao|Minxian Xu|Huijun Tang
| Anthology ID: | DBLP:conf/cikm/WuTTJXT25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3376-3385 |
| URL: | https://doi.org/10.1145/3746252.3761337 |
| DOI: | https://doi.org/10.1145/3746252.3761337 |
| DBLP: | conf/cikm/WuTTJXT25 |
| BibTeX: |
@inproceedings{wu-2025-gravitygnn,
author = {Huaming Wu and
Lei Tian and
Chaogang Tang and
Pengfei Jiao and
Minxian Xu and
Huijun Tang},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3376--3385},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761337},
doi = {https://doi.org/10.1145/3746252.3761337}
}