HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation.

Lu Zhang|Ning Wu


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} }