%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 }