Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.
Shiyuan Li|Yixin Liu|Qingfeng Chen|Geoffrey I. Webb|Shirui Pan
| Anthology ID: | DBLP:conf/cikm/Li0CWP24 |
|---|---|
| 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: | 1255-1265 |
| URL: | https://doi.org/10.1145/3627673.3679758 |
| DOI: | https://doi.org/10.1145/3627673.3679758 |
| DBLP: | conf/cikm/Li0CWP24 |
| BibTeX: |
@inproceedings{li-2024-noiseresilient,
author = {Shiyuan Li and
Yixin Liu and
Qingfeng Chen and
Geoffrey I. Webb and
Shirui Pan},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1255--1265},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679758},
doi = {https://doi.org/10.1145/3627673.3679758}
}