GSD-GNN: Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks.
Yunfeng Yu|Longlong Lin|Qiyu Liu|Zeli Wang|Xi Ou|Tao Jia
| Anthology ID: | DBLP:conf/mir/YuLLWOJ24 |
|---|---|
| Volume: | Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 64-72 |
| URL: | https://doi.org/10.1145/3652583.3658051 |
| DOI: | https://doi.org/10.1145/3652583.3658051 |
| DBLP: | conf/mir/YuLLWOJ24 |
| BibTeX: |
@inproceedings{yu-2024-gsdgnn,
author = {Yunfeng Yu and
Longlong Lin and
Qiyu Liu and
Zeli Wang and
Xi Ou and
Tao Jia},
editor = {Cathal Gurrin and
Rachada Kongkachandra and
Klaus Sch\"{o}ffmann and
Duc-Tien Dang-Nguyen and
Luca Rossetto and
Shin'ichi Satoh and
Liting Zhou},
title = {{GSD-GNN: Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks}},
booktitle = {{Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024}},
pages = {64--72},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3652583.3658051},
doi = {https://doi.org/10.1145/3652583.3658051}
}