Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.

Weizhi Zhang|Liangwei Yang|Zihe Song|Henry Peng Zou|Ke Xu|Liancheng Fang|Philip S. Yu


Anthology ID:DBLP:conf/cikm/0001YSZXFY24
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:3248-3258
URL:https://doi.org/10.1145/3627673.3679773
DOI:https://doi.org/10.1145/3627673.3679773
DBLP:conf/cikm/0001YSZXFY24
BibTeX:
@inproceedings{zhang-2024-really, author = {Weizhi Zhang and Liangwei Yang and Zihe Song and Henry Peng Zou and Ke Xu and Liancheng Fang and Philip S. Yu}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {3248--3258}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679773}, doi = {https://doi.org/10.1145/3627673.3679773} }