Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
Zhaonan Wang|Renhe Jiang|Zekun Cai|Zipei Fan|Xin Liu|Kyoung-Sook Kim|Xuan Song|Ryosuke Shibasaki
| Anthology ID: | DBLP:conf/cikm/WangJCFLKSS21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2060-2069 |
| URL: | https://doi.org/10.1145/3459637.3482482 |
| DOI: | https://doi.org/10.1145/3459637.3482482 |
| DBLP: | conf/cikm/WangJCFLKSS21 |
| BibTeX: |
@inproceedings{wang-2021-spatiotemporalcategorical,
author = {Zhaonan Wang and
Renhe Jiang and
Zekun Cai and
Zipei Fan and
Xin Liu and
Kyoung-Sook Kim and
Xuan Song and
Ryosuke Shibasaki},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2060--2069},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482482},
doi = {https://doi.org/10.1145/3459637.3482482}
}