GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.
Xinshun Feng|Herun Wan|Shangbin Feng|Hongrui Wang|Qinghua Zheng|Jun Zhou|Minnan Luo
| Anthology ID: | DBLP:conf/cikm/FengWFWZZL22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 520-529 |
| URL: | https://doi.org/10.1145/3511808.3557337 |
| DOI: | https://doi.org/10.1145/3511808.3557337 |
| DBLP: | conf/cikm/FengWFWZZL22 |
| BibTeX: |
@inproceedings{feng-2022-grato,
author = {Xinshun Feng and
Herun Wan and
Shangbin Feng and
Hongrui Wang and
Qinghua Zheng and
Jun Zhou and
Minnan Luo},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {520--529},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557337},
doi = {https://doi.org/10.1145/3511808.3557337}
}