Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
Yunhui Liu|Tieke He|Qing Wu|Tao Zheng|Jianhua Zhao
| Anthology ID: | DBLP:conf/cikm/LiuHWZZ24 |
|---|---|
| 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: | 3912-3916 |
| URL: | https://doi.org/10.1145/3627673.3679992 |
| DOI: | https://doi.org/10.1145/3627673.3679992 |
| DBLP: | conf/cikm/LiuHWZZ24 |
| BibTeX: |
@inproceedings{liu-2024-scalable,
author = {Yunhui Liu and
Tieke He and
Qing Wu and
Tao Zheng and
Jianhua Zhao},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3912--3916},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679992},
doi = {https://doi.org/10.1145/3627673.3679992}
}