Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes | Paper Citation Record

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This paper cites Smart actuation for end-edge industrial control systems,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Smart actuation for end-edge industrial control systems,

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This paper cites SWaT: A water treatment testbed for research and training on ICS security,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes SWaT: A water treatment testbed for research and training on ICS security,

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This paper cites & Kim, H.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes & Kim, H

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This paper cites Overview of industrial process automation,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Overview of industrial process automation,

Reference 4

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This paper cites & Kim, H.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes & Kim, H

Reference 5

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This paper cites Multivariate time-series anomaly detection via graph attention network,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Multivariate time-series anomaly detection via graph attention network,

Reference 6

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This paper cites Graph neural network-based anomaly detection in multivariate time series,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Graph neural network-based anomaly detection in multivariate time series,

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This paper cites & Kim, H.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes & Kim, H

Reference 8

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This paper cites Learning graph structures with transformer for multi- variate time-series anomaly detection in IoT,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Learning graph structures with transformer for multi- variate time-series anomaly detection in IoT,

Reference 9

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This paper cites Deep variational graph convolutional recurrent network for multivariate time series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Deep variational graph convolutional recurrent network for multivariate time series anomaly detection,

Reference 10

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This paper cites Learning sparse latent graph representations for anomaly detection in multivariate time series,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Learning sparse latent graph representations for anomaly detection in multivariate time series,

Reference 11

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This paper cites Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

Reference 12

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This paper cites Robust anomaly detection for multivariate time series through temporal GCNs and attention-based V AE,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Robust anomaly detection for multivariate time series through temporal GCNs and attention-based V AE,

Reference 13

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This paper cites MST-GAT: A multimodal spatial- temporal graph attention network for time series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes MST-GAT: A multimodal spatial- temporal graph attention network for time series anomaly detection,

Reference 14

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This paper cites Edge conditional node update graph neural network for multi-variate time series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Edge conditional node update graph neural network for multi-variate time series anomaly detection,

Reference 15

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This paper cites Multivariate time- series anomaly detection based on enhancing graph attention networks with topological analysis,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Multivariate time- series anomaly detection based on enhancing graph attention networks with topological analysis,

Reference 16

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This paper cites PGRF-Net: A prototype-guided relational fusion network for diagnostic multivariate time-series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes PGRF-Net: A prototype-guided relational fusion network for diagnostic multivariate time-series anomaly detection,

Reference 17

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This paper cites Graph attention networks,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Graph attention networks,

Reference 18

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This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 19

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This paper cites Anomaly detection: A survey,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Anomaly detection: A survey,

Reference 20

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This paper cites Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,

Reference 21

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This paper cites Deep learning for time series anomaly detection: A survey,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Deep learning for time series anomaly detection: A survey,

Reference 22

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This paper cites Contextual anomaly detection for high- dimensional data using Dirichlet process variational autoencoder,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Contextual anomaly detection for high- dimensional data using Dirichlet process variational autoencoder,

Reference 23

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This paper cites Contextual anomaly detection for multivariate time series data,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Contextual anomaly detection for multivariate time series data,

Reference 24

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This paper cites Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges,

Reference 25

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This paper cites & Kim, H.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes & Kim, H

Reference 26

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This paper cites Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding,

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This paper cites Developing an unsupervised real-time anomaly detection scheme for time series with multi-seasonality,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Developing an unsupervised real-time anomaly detection scheme for time series with multi-seasonality,

Reference 28

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This paper cites Spacecraft anomaly detection with attention temporal convolution networks,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Spacecraft anomaly detection with attention temporal convolution networks,

Reference 29

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This paper cites Time-series anomaly detection with stacked transformer representations and 1D convolutional network,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Time-series anomaly detection with stacked transformer representations and 1D convolutional network,

Reference 30

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This paper cites A multimodal anomaly detector for robot-assisted feeding using an LSTM-based variational autoencoder,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes A multimodal anomaly detector for robot-assisted feeding using an LSTM-based variational autoencoder,

Reference 31

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This paper cites MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks,

Reference 32

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This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

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This paper cites STAD-GAN: Unsupervised anomaly detection on mul- tivariate time series with self-training generative adversarial networks,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes STAD-GAN: Unsupervised anomaly detection on mul- tivariate time series with self-training generative adversarial networks,

Reference 34

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This paper cites USAD: UnSupervised anomaly detection on multi- variate time series,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes USAD: UnSupervised anomaly detection on multi- variate time series,

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This paper cites Temporal convolutional autoencoder for unsupervised anomaly detection in time series,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Temporal convolutional autoencoder for unsupervised anomaly detection in time series,

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This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

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This paper cites Variational transformer-based anomaly detection ap- proach for multivariate time series,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Variational transformer-based anomaly detection ap- proach for multivariate time series,

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes SARAD: Spatial association- aware anomaly detection and diagnosis for multivariate time series,

Reference 39

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This paper cites CATCH: Channel-aware multivariate time series anomaly detection via frequency patching,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes CATCH: Channel-aware multivariate time series anomaly detection via frequency patching,

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This paper cites Multi-resolution decomposable diffusion model for non-stationary time series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Multi-resolution decomposable diffusion model for non-stationary time series anomaly detection,

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes GTAD: Graph and temporal neural network for multi- variate time series anomaly detection,

Reference 42

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This paper cites Causality- aware contrastive learning for robust multivariate time-series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Causality- aware contrastive learning for robust multivariate time-series anomaly detection,

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This paper cites CARLA: Self-supervised contrastive representation learning for time series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes CARLA: Self-supervised contrastive representation learning for time series anomaly detection,

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This paper cites Attention is all you need,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Attention is all you need,

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Categorical Reparameterization with Gumbel-Softmax

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This paper cites DAGs with NO TEARS: Continuous optimization for structure learning,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes DAGs with NO TEARS: Continuous optimization for structure learning,

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This paper cites Entropy causal graphs for multivariate time series anomaly detection,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Entropy causal graphs for multivariate time series anomaly detection,

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Semi-Supervised Classification with Graph Convolutional Networks

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Rectified linear units improve restricted Boltzmann machines,

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Weight normalization: A simple reparameterization to accelerate training of deep neural networks,

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This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Empirical Evaluation of Rectified Activations in Convolutional Network

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This paper cites W ADI: A water distribution testbed for research in the design of secure cyber physical systems,.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes W ADI: A water distribution testbed for research in the design of secure cyber physical systems,

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This paper cites Adam: A Method for Stochastic Optimization.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Adam: A Method for Stochastic Optimization

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This paper cites WaveNet: A Generative Model for Raw Audio.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes WaveNet: A Generative Model for Raw Audio

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