Update MTGFlow from WSDM 2023 to AAAI 2023

README.md

@@ -474,7 +474,7 @@ To reduce repetition, some data are in abbreviated form. Some terms may not repr
 |  Anomaly Detection | MSL <br>   SWaT  <br>  WADI   |   PoA        | [Precursor-of-Anomaly Detection for Irregular Time Series](https://dl.acm.org/doi/10.1145/3580305.3599469) | [Pytorch](https://github.com/sheoyon-jhin/PAD) <br>![Stars](https://img.shields.io/github/stars/sheoyon-jhin/PAD?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/sheoyon-jhin/PAD?color=critical&style=social) | KDD 2023
 |  Anomaly Detection | MSL <br>   SWaT  <br>  PSM <br>   SMAP  <br>  SMD    |   DiffAD        | [Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models](https://doi.org/10.1145/3580305.3599391) | [Pytorch](https://github.com/ChunjingXiao/DiffAD) <br>![Stars](https://img.shields.io/github/stars/ChunjingXiao/DiffAD?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ChunjingXiao/DiffAD?color=critical&style=social) | KDD 2023
 |  Anomaly Detection |SMD <br> SMAP <br> MSL <br> SWaT  |        DAEMON        | [Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation](https://doi.org/10.1145/3539597.3570371) | [Pytorch](https://github.com/Sherlock-C/DAEMON) <br>![Stars](https://img.shields.io/github/stars/Sherlock-C/DAEMON?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Sherlock-C/DAEMON?color=critical&style=social) | AAAI 2023
-|  Anomaly Detection |  SWaT <br> WADI <br> PSM  <br> MSL <br> SMD |        MTGFlow        | [Detecting Multivariate Time Series Anomalies with Zero Known Label](https://ojs.aaai.org/index.php/AAAI/article/view/25623) | [Pytorch](https://github.com/zqhang/MTGFLOW) <br>![Stars](https://img.shields.io/github/stars/zqhang/MTGFLOW?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/zqhang/MTGFLOW?color=critical&style=social) | WSDM 2023
+|  Anomaly Detection |  SWaT <br> WADI <br> PSM  <br> MSL <br> SMD |        MTGFlow        | [Detecting Multivariate Time Series Anomalies with Zero Known Label](https://ojs.aaai.org/index.php/AAAI/article/view/25623) | [Pytorch](https://github.com/zqhang/MTGFLOW) <br>![Stars](https://img.shields.io/github/stars/zqhang/MTGFLOW?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/zqhang/MTGFLOW?color=critical&style=social) | AAAI 2023
 |  Anomaly Detection |  SWaT <br> WADI  SMAP <br>  MSL |        DuoGAT        | [DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series](https://dl.acm.org/doi/10.1145/3583780.3614857) | [Pytorch](https://github.com/ByeongtaePark/DuoGAT) <br>![Stars](https://img.shields.io/github/stars/ByeongtaePark/DuoGAT?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ByeongtaePark/DuoGAT?color=critical&style=social) | CIKM 2023
 |  Anomaly Detection | SWaT <br>   SMAP  <br>  MSL  <br>   PSM  <br>  SMD  |        MadSGM        | [MadSGM: Multivariate Anomaly Detection with Score-based Generative Models](https://dl.acm.org/doi/10.1145/3583780.3614857) | None  | CIKM 2023
 |  Anomaly Detection |SMD <br> Boiler  |        ContexTDA        | [Context-aware Domain Adaptation for Time Series Anomaly Detection](https://epubs.siam.org/doi/abs/10.1137/1.9781611977653.ch76) | None| SDM 2023