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} }