AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange.
Liang Zeng|Jin Xu|Zijun Yao|Yanqiao Zhu|Jian Li
| Anthology ID: | DBLP:conf/cikm/0002X0ZL23 |
|---|---|
| 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: | 3134-3143 |
| URL: | https://doi.org/10.1145/3583780.3614778 |
| DOI: | https://doi.org/10.1145/3583780.3614778 |
| DBLP: | conf/cikm/0002X0ZL23 |
| BibTeX: |
@inproceedings{zeng-2023-akegnn,
author = {Liang Zeng and
Jin Xu and
Zijun Yao and
Yanqiao Zhu and
Jian Li},
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 = {{AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3134--3143},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614778},
doi = {https://doi.org/10.1145/3583780.3614778}
}