SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation.
Shaowen Peng|Kazunari Sugiyama|Tsunenori Mine
| Anthology ID: | DBLP:conf/cikm/PengSM22 |
|---|---|
| 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: | 1625-1634 |
| URL: | https://doi.org/10.1145/3511808.3557462 |
| DOI: | https://doi.org/10.1145/3511808.3557462 |
| DBLP: | conf/cikm/PengSM22 |
| BibTeX: |
@inproceedings{peng-2022-svdgcn,
author = {Shaowen Peng and
Kazunari Sugiyama and
Tsunenori Mine},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {1625--1634},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557462},
doi = {https://doi.org/10.1145/3511808.3557462}
}