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} }