HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation.
| Anthology ID: | DBLP:conf/cikm/ZhangW24 |
|---|---|
| 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: | 3186-3196 |
| URL: | https://doi.org/10.1145/3627673.3679701 |
| DOI: | https://doi.org/10.1145/3627673.3679701 |
| DBLP: | conf/cikm/ZhangW24 |
| BibTeX: |
@inproceedings{zhang-2024-hgch,
author = {Lu Zhang and
Ning Wu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3186--3196},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679701},
doi = {https://doi.org/10.1145/3627673.3679701}
}