Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.
Jie Peng|Runlin Lei|Zhewei Wei
| Anthology ID: | DBLP:conf/cikm/PengLW24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1878-1887 |
| URL: | https://doi.org/10.1145/3627673.3679776 |
| DOI: | https://doi.org/10.1145/3627673.3679776 |
| DBLP: | conf/cikm/PengLW24 |
| BibTeX: |
@inproceedings{peng-2024-beyond,
author = {Jie Peng and
Runlin Lei and
Zhewei Wei},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1878--1887},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679776},
doi = {https://doi.org/10.1145/3627673.3679776}
}