DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series.

@inproceedings{lee-2023-duogat, author = {Jongsoo Lee and Byeongtae Park and Dong-Kyu Chae}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {1188--1197}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614857}, doi = {https://doi.org/10.1145/3583780.3614857} }