Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale.
Yangxin Fan|Raymond Wieser|Laura S. Bruckman|Roger H. French|Yinghui Wu
| Anthology ID: | DBLP:conf/cikm/FanWBFW24 |
|---|---|
| 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: | 4470-4478 |
| URL: | https://doi.org/10.1145/3627673.3680026 |
| DOI: | https://doi.org/10.1145/3627673.3680026 |
| DBLP: | conf/cikm/FanWBFW24 |
| BibTeX: |
@inproceedings{fan-2024-parallelfriendly,
author = {Yangxin Fan and
Raymond Wieser and
Laura S. Bruckman and
Roger H. French and
Yinghui Wu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4470--4478},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680026},
doi = {https://doi.org/10.1145/3627673.3680026}
}