Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation.
Shuang Wang|Bahaeddin Eravci|Rustam Guliyev|Hakan Ferhatosmanoglu
| Anthology ID: | DBLP:conf/cikm/0005EGF23 |
|---|---|
| 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: | 2626-2636 |
| URL: | https://doi.org/10.1145/3583780.3614955 |
| DOI: | https://doi.org/10.1145/3583780.3614955 |
| DBLP: | conf/cikm/0005EGF23 |
| BibTeX: |
@inproceedings{wang-2023-lowbit,
author = {Shuang Wang and
Bahaeddin Eravci and
Rustam Guliyev and
Hakan Ferhatosmanoglu},
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 = {{Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2626--2636},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614955},
doi = {https://doi.org/10.1145/3583780.3614955}
}