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} }