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%0 Conference Paper
%1 conf/icml/ChenTCDDZ22
%A Chen, Wenchao
%A Tian, Long
%A Chen, Bo
%A Dai, Liang
%A Duan, Zhibin
%A Zhou, Mingyuan
%B ICML
%D 2022
%E Chaudhuri, Kamalika
%E Jegelka, Stefanie
%E Song, Le
%E Szepesvári, Csaba
%E Niu, Gang
%E Sabato, Sivan
%I PMLR
%K dblp
%P 3621-3633
%T Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection.
%U http://dblp.uni-trier.de/db/conf/icml/icml2022.html#ChenTCDDZ22
%V 162
@inproceedings{conf/icml/ChenTCDDZ22,
added-at = {2022-08-23T00:00:00.000+0200},
author = {Chen, Wenchao and Tian, Long and Chen, Bo and Dai, Liang and Duan, Zhibin and Zhou, Mingyuan},
biburl = {https://www.bibsonomy.org/bibtex/2eda8087523c87f95641054769648adb4/dblp},
booktitle = {ICML},
crossref = {conf/icml/2022},
editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvári, Csaba and Niu, Gang and Sabato, Sivan},
ee = {https://proceedings.mlr.press/v162/chen22x.html},
interhash = {d605f46e88e2ba1720fc277e22cbdc93},
intrahash = {eda8087523c87f95641054769648adb4},
keywords = {dblp},
pages = {3621-3633},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-04-10T01:44:28.000+0200},
title = {Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection.},
url = {http://dblp.uni-trier.de/db/conf/icml/icml2022.html#ChenTCDDZ22},
volume = 162,
year = 2022
}