Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction.
Chunyang Wang|Yanmin Zhu|Tianzi Zang|Haobing Liu|Jiadi Yu
| Anthology ID: | DBLP:conf/wsdm/WangZZLY21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 616-634 |
| URL: | https://doi.org/10.1145/3437963.3441731 |
| DOI: | https://doi.org/10.1145/3437963.3441731 |
| DBLP: | conf/wsdm/WangZZLY21 |
| BibTeX: |
@inproceedings{wang-2021-modeling,
author = {Chunyang Wang and
Yanmin Zhu and
Tianzi Zang and
Haobing Liu and
Jiadi Yu},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {616--634},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441731},
doi = {https://doi.org/10.1145/3437963.3441731}
}